Modelling
Taavi Päll
17 10 2017
Estonian Land Board data
Available via www.maaamet.ee. API can be accessed programmatically using html requests. One can use “rvest” package. Please have a look at “R/maaamet.R” script in rstats-tartu/datasets repo. Returns html, but that ok too. Html results need little wrangling to get table.
Data that can be downloaded are number of transactions and price summaries per property size, and type for different time periods. Price info is given for data splits with more than 5 transactions.
Load dataset
## Check if file is alredy downloaded
if(!file.exists("data/transactions_residential_apartments.csv")){
url <- "https://raw.githubusercontent.com/rstats-tartu/datasets/master/transactions_residential_apartments.csv"
## Check if data folder is present
if(!dir.exists("data")){
dir.create("data")
}
## Download file to data folder
download.file(url, "data/transactions_residential_apartments.csv")
}Import
library(tidyverse)## Loading tidyverse: ggplot2
## Loading tidyverse: tibble
## Loading tidyverse: tidyr
## Loading tidyverse: readr
## Loading tidyverse: purrr
## Loading tidyverse: dplyr## Conflicts with tidy packages ----------------------------------------------## filter(): dplyr, stats
## lag(): dplyr, statslibrary(lubridate)##
## Attaching package: 'lubridate'## The following object is masked from 'package:base':
##
## datelibrary(stringr)
# Please try broom from GitHub as CRAN version may give obscure warning
# with augment
# devtools::install_github("dgrtwo/broom")
library(broom)
library(viridis)## Loading required package: viridisLiteapartments <- read_csv("data/transactions_residential_apartments.csv")## Parsed with column specification:
## cols(
## year = col_integer(),
## month = col_character(),
## county = col_character(),
## area = col_character(),
## transactions = col_integer(),
## area_total = col_double(),
## area_mean = col_double(),
## price_total = col_integer(),
## price_min = col_double(),
## price_max = col_double(),
## price_unit_area_min = col_double(),
## price_unit_area_max = col_double(),
## price_unit_area_median = col_double(),
## price_unit_area_mean = col_double(),
## price_unit_area_sd = col_double(),
## title = col_character(),
## subtitle = col_character()
## )## Warning in rbind(names(probs), probs_f): number of columns of result is not
## a multiple of vector length (arg 1)## Warning: 31 parsing failures.
## row # A tibble: 5 x 5 col row col expected actual expected <int> <chr> <chr> <chr> actual 1 11495 price_total no trailing characters e3 file 2 11504 price_total no trailing characters e3 row 3 11512 price_total no trailing characters e3 col 4 11513 price_total no trailing characters e3 expected 5 11573 price_total no trailing characters e3 actual # ... with 1 more variables: file <chr>
## ... ................. ... ................................................. ........ ................................................. ...... ................................................. .... ................................................. ... ................................................. ... ................................................. ........ ................................................. ...... .......................................
## See problems(...) for more details.apartments <- apartments %>%
mutate(date = ymd(str_c(year, month, 1, sep = "-"))) %>%
select(date, everything())
harju <- apartments %>% filter(str_detect(county, "Harju"))
harju## # A tibble: 890 x 18
## date year month county area transactions area_total
## <date> <int> <chr> <chr> <chr> <int> <dbl>
## 1 2005-01-01 2005 Jan Harju maakond 10-29,99 65 1418.8
## 2 2005-01-01 2005 Jan Harju maakond 30-40,99 155 5431.5
## 3 2005-01-01 2005 Jan Harju maakond 41-54,99 253 12043.8
## 4 2005-01-01 2005 Jan Harju maakond 55-69,99 230 14515.9
## 5 2005-01-01 2005 Jan Harju maakond 70-249,99 118 10905.0
## 6 2005-02-01 2005 Feb Harju maakond 10-29,99 63 1340.2
## 7 2005-02-01 2005 Feb Harju maakond 30-40,99 175 6125.2
## 8 2005-02-01 2005 Feb Harju maakond 41-54,99 257 12233.8
## 9 2005-02-01 2005 Feb Harju maakond 55-69,99 249 15659.0
## 10 2005-02-01 2005 Feb Harju maakond 70-249,99 174 15926.1
## # ... with 880 more rows, and 11 more variables: area_mean <dbl>,
## # price_total <int>, price_min <dbl>, price_max <dbl>,
## # price_unit_area_min <dbl>, price_unit_area_max <dbl>,
## # price_unit_area_median <dbl>, price_unit_area_mean <dbl>,
## # price_unit_area_sd <dbl>, title <chr>, subtitle <chr>Strategy
Start with single unit and identify interesting pattern
Summarise pattern with model
Apply model to all units
Look for units that don’t fit pattern
Summarise with single model
First glimpse
Plot number of transactions per year for Harju county and add smooth line.
p <- ggplot(harju, aes(factor(year), transactions, group = area, color = area)) +
geom_point() +
geom_smooth(method = 'loess') +
facet_wrap(~county, scales = "free_y") +
labs(
y = "Transactions",
x = "Year"
) +
scale_color_viridis(discrete = TRUE)
p
Mean price per unit area:
## Add date
p <- harju %>%
ggplot(aes(date, price_unit_area_mean, group = area, color = area)) +
geom_line() +
geom_vline(xintercept = ymd("2008-09-15"), linetype = 2) +
labs(title = "Transactions with residential apartments",
subtitle = "Harju county",
x = "Date",
y = bquote(Mean~price~(eur/m^2)),
caption = str_c("Source: Estonian Land Board, transactions database.\nDashed line, the collapse of the investment bank\nLehman Brothers on Sep 15, 2008.")) +
scale_color_viridis(discrete = TRUE, name = bquote(Apartment~size~m^2))
p
Adjust mean price to changes in consumer index:
download.file("https://raw.githubusercontent.com/rstats-tartu/datasets/master/consumer_index.csv",
"data/consumer_index.csv")
consumer_index <- read_csv("data/consumer_index.csv")## Warning: Missing column names filled in: 'X1' [1]## Parsed with column specification:
## cols(
## X1 = col_integer(),
## year = col_integer(),
## Jan = col_double(),
## Feb = col_double(),
## Mar = col_double(),
## Apr = col_double(),
## May = col_double(),
## Jun = col_double(),
## Jul = col_double(),
## Aug = col_double(),
## Sep = col_double(),
## Oct = col_double(),
## Nov = col_double(),
## Dec = col_double()
## )consumer_index## # A tibble: 22 x 14
## X1 year Jan Feb Mar Apr May Jun Jul Aug Sep
## <int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1 1996 61.86 63.84 64.90 66.02 66.35 66.74 66.94 66.28 66.55
## 2 2 1997 68.59 69.05 69.58 70.63 71.95 72.42 72.68 73.01 73.34
## 3 3 1998 76.50 77.23 77.89 78.22 78.48 78.68 79.14 79.01 78.88
## 4 4 1999 79.93 80.13 80.46 80.73 80.99 80.92 80.99 80.86 80.86
## 5 5 2000 82.37 82.44 83.03 83.10 83.23 83.50 84.29 84.35 84.68
## 6 6 2001 87.06 87.32 87.72 88.31 88.84 89.04 89.23 89.30 89.50
## 7 7 2002 90.75 91.28 91.54 92.33 92.53 92.46 92.14 91.74 91.87
## 8 8 2003 93.06 93.32 93.52 93.39 93.19 92.86 92.99 92.99 93.26
## 9 9 2004 93.65 93.85 94.18 94.77 96.62 96.95 96.69 96.62 96.82
## 10 10 2005 97.54 98.14 98.73 99.19 99.39 100.05 100.45 100.71 101.57
## # ... with 12 more rows, and 3 more variables: Oct <dbl>, Nov <dbl>,
## # Dec <dbl>## check if 2005 is 100%
consumer_index[10, 3:14] %>% rowMeans()## [1] 100divide_by_100 <- function(x) {
x/100
}
consumer_index <- consumer_index %>%
select(-X1) %>%
gather(key = month, value = consumerindex, -year) %>%
mutate_at("consumerindex", divide_by_100)
consumer_index## # A tibble: 264 x 3
## year month consumerindex
## <int> <chr> <dbl>
## 1 1996 Jan 0.6186
## 2 1997 Jan 0.6859
## 3 1998 Jan 0.7650
## 4 1999 Jan 0.7993
## 5 2000 Jan 0.8237
## 6 2001 Jan 0.8706
## 7 2002 Jan 0.9075
## 8 2003 Jan 0.9306
## 9 2004 Jan 0.9365
## 10 2005 Jan 0.9754
## # ... with 254 more rowsJoin apartments and consumer index data:
apartments <- left_join(apartments, consumer_index, by = c("year", "month"))Select harju county data:
harju_ci <- filter(apartments, str_detect(county, "Harju"))
harju_ci## # A tibble: 890 x 19
## date year month county area transactions area_total
## <date> <int> <chr> <chr> <chr> <int> <dbl>
## 1 2005-01-01 2005 Jan Harju maakond 10-29,99 65 1418.8
## 2 2005-01-01 2005 Jan Harju maakond 30-40,99 155 5431.5
## 3 2005-01-01 2005 Jan Harju maakond 41-54,99 253 12043.8
## 4 2005-01-01 2005 Jan Harju maakond 55-69,99 230 14515.9
## 5 2005-01-01 2005 Jan Harju maakond 70-249,99 118 10905.0
## 6 2005-02-01 2005 Feb Harju maakond 10-29,99 63 1340.2
## 7 2005-02-01 2005 Feb Harju maakond 30-40,99 175 6125.2
## 8 2005-02-01 2005 Feb Harju maakond 41-54,99 257 12233.8
## 9 2005-02-01 2005 Feb Harju maakond 55-69,99 249 15659.0
## 10 2005-02-01 2005 Feb Harju maakond 70-249,99 174 15926.1
## # ... with 880 more rows, and 12 more variables: area_mean <dbl>,
## # price_total <int>, price_min <dbl>, price_max <dbl>,
## # price_unit_area_min <dbl>, price_unit_area_max <dbl>,
## # price_unit_area_median <dbl>, price_unit_area_mean <dbl>,
## # price_unit_area_sd <dbl>, title <chr>, subtitle <chr>,
## # consumerindex <dbl>harju_ci <- harju_ci %>%
mutate(pua_mean_ci = price_unit_area_mean / consumerindex)Price per m^2 after consumer index adjustment:
harju_ci %>%
ggplot(aes(date, pua_mean_ci, group = area, color = area)) +
geom_line() +
geom_vline(xintercept = ymd("2008-09-15"), linetype = 2) +
labs(title = "Transactions with residential apartments",
subtitle = "Harju county",
x = "Date",
y = "Consumer index corrected mean price\nrelative to 2005 (eur/m^2)",
caption = str_c("Source: Estonian Land Board, transactions database.\nDashed line, the collapse of the investment bank\nLehman Brothers on Sep 15, 2008.")) +
scale_color_viridis(discrete = TRUE, name = bquote(Apartment~size~m^2))
Seasonal pattern
Seasonal pattern in number of transactions? Mean price eur/m^2 per month:
## Note that we are rearranging x axis using R builtin vector of month names
p <- harju %>%
ggplot(aes(factor(month, levels = month.abb), transactions, group = year)) +
geom_line(alpha = 0.3) +
geom_vline(xintercept = ymd("2008-09-15"), linetype = 2) +
facet_wrap(~ area, scales = "free_y") +
labs(title = "Seasonal trend in number of transactions\nwith residential apartments",
subtitle = "Harju county",
x = "Month",
y = "Transactions",
caption = "Source: Estonian Land Board, transactions database.") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
p
Add trendline per month. Fit linear model per month for each apartment size class. augment() function from “broom” library adds fitted values and residuals to the original data. We can use this to overlay model fit to our data.
predicted_transa <- harju %>%
lm(transactions ~ month + area, data = .) %>%
augment() # broom
predicted_transa %>%
arrange(desc(.cooksd)) %>%
dplyr::select(.cooksd, everything())## .cooksd transactions month area .fitted .se.fit
## 1 2.159508e-02 530 Nov 41-54,99 258.50064 8.840215
## 2 1.811853e-02 512 Oct 41-54,99 256.50921 8.613145
## 3 1.785884e-02 461 Nov 55-69,99 214.10177 8.840215
## 4 1.776184e-02 457 Dec 55-69,99 210.77319 8.840215
## 5 1.653771e-02 492 Aug 41-54,99 247.90921 8.613145
## 6 1.528834e-02 443 Sep 55-69,99 208.31034 8.613145
## 7 1.467802e-02 447 Jan 41-54,99 217.04255 8.613145
## 8 1.417169e-02 417 Jun 55-69,99 191.04367 8.613145
## 9 1.411509e-02 478 Nov 41-54,99 258.50064 8.840215
## 10 1.364685e-02 471 Dec 41-54,99 255.17207 8.840215
## 11 1.337227e-02 476 Oct 41-54,99 256.50921 8.613145
## 12 1.334791e-02 472 Sep 41-54,99 252.70921 8.613145
## 13 1.312955e-02 421 Aug 55-69,99 203.51034 8.613145
## 14 1.211174e-02 421 Oct 55-69,99 212.11034 8.613145
## 15 1.149677e-02 457 Mar 41-54,99 253.48255 8.613145
## 16 1.097986e-02 411 Oct 55-69,99 212.11034 8.613145
## 17 1.001989e-02 398 May 55-69,99 208.00367 8.613145
## 18 9.417474e-03 380 Jul 55-69,99 195.80367 8.613145
## 19 9.173775e-03 422 Jul 41-54,99 240.20255 8.613145
## 20 8.852306e-03 429 Dec 41-54,99 255.17207 8.840215
## 21 8.803501e-03 426 Aug 41-54,99 247.90921 8.613145
## 22 8.731038e-03 350 Jan 55-69,99 172.64367 8.613145
## 23 8.264945e-03 408 Jun 41-54,99 235.44255 8.613145
## 24 8.080781e-03 420 Apr 41-54,99 249.37588 8.613145
## 25 7.920489e-03 334 Oct 30-40,99 165.07663 8.613145
## 26 7.430765e-03 323 Dec 30-40,99 163.73949 8.840215
## 27 7.248390e-03 414 May 41-54,99 252.40255 8.613145
## 28 7.151827e-03 414 Mar 41-54,99 253.48255 8.613145
## 29 6.971647e-03 95 Mar 41-54,99 253.48255 8.613145
## 30 6.892520e-03 339 Dec 70-249,99 185.61589 8.840215
## 31 6.848922e-03 367 Nov 55-69,99 214.10177 8.840215
## 32 6.788902e-03 363 Dec 55-69,99 210.77319 8.840215
## 33 6.508989e-03 338 Nov 70-249,99 188.94446 8.840215
## 34 6.405919e-03 361 Mar 55-69,99 209.08367 8.613145
## 35 6.379055e-03 404 May 41-54,99 252.40255 8.613145
## 36 6.202219e-03 113 Nov 41-54,99 258.50064 8.840215
## 37 6.165430e-03 377 Feb 41-54,99 227.96255 8.613145
## 38 6.121802e-03 108 Oct 41-54,99 256.50921 8.613145
## 39 6.113012e-03 104 May 41-54,99 252.40255 8.613145
## 40 5.818837e-03 308 Nov 30-40,99 167.06806 8.840215
## 41 5.673056e-03 85 Feb 41-54,99 227.96255 8.613145
## 42 5.619867e-03 395 Sep 41-54,99 252.70921 8.613145
## 43 5.511822e-03 350 Mar 55-69,99 209.08367 8.613145
## 44 5.496737e-03 302 Sep 30-40,99 161.27663 8.613145
## 45 5.481124e-03 297 Aug 30-40,99 156.47663 8.613145
## 46 5.242949e-03 321 Feb 55-69,99 183.56367 8.613145
## 47 5.238338e-03 112 Apr 41-54,99 249.37588 8.613145
## 48 5.212947e-03 80 Jan 41-54,99 217.04255 8.613145
## 49 5.091934e-03 100 Jun 41-54,99 235.44255 8.613145
## 50 5.035482e-03 343 Sep 55-69,99 208.31034 8.613145
## 51 4.904324e-03 315 Dec 70-249,99 185.61589 8.840215
## 52 4.836648e-03 76 May 55-69,99 208.00367 8.613145
## 53 4.756779e-03 117 Aug 41-54,99 247.90921 8.613145
## 54 4.659049e-03 365 Jun 41-54,99 235.44255 8.613145
## 55 4.655230e-03 315 Nov 70-249,99 188.94446 8.840215
## 56 4.618779e-03 337 May 55-69,99 208.00367 8.613145
## 57 4.334079e-03 342 Jan 41-54,99 217.04255 8.613145
## 58 4.269499e-03 329 Apr 55-69,99 204.97700 8.613145
## 59 4.202564e-03 310 Oct 70-249,99 186.95303 8.613145
## 60 4.141763e-03 305 May 70-249,99 182.84637 8.613145
## 61 4.134533e-03 309 Oct 70-249,99 186.95303 8.613145
## 62 4.125687e-03 331 Mar 55-69,99 209.08367 8.613145
## 63 4.002584e-03 89 Mar 55-69,99 209.08367 8.613145
## 64 3.886079e-03 140 Dec 41-54,99 255.17207 8.840215
## 65 3.801149e-03 322 Apr 55-69,99 204.97700 8.613145
## 66 3.614286e-03 98 Oct 55-69,99 212.11034 8.613145
## 67 3.605210e-03 278 Nov 30-40,99 167.06806 8.840215
## 68 3.594899e-03 100 Dec 55-69,99 210.77319 8.840215
## 69 3.571715e-03 297 Feb 55-69,99 183.56367 8.613145
## 70 3.512350e-03 316 Aug 55-69,99 203.51034 8.613145
## 71 3.505305e-03 295 Dec 70-249,99 185.61589 8.840215
## 72 3.505305e-03 295 Dec 70-249,99 185.61589 8.840215
## 73 3.396817e-03 360 Apr 41-54,99 249.37588 8.613145
## 74 3.394945e-03 269 Feb 70-249,99 158.40637 8.613145
## 75 3.353055e-03 138 Aug 41-54,99 247.90921 8.613145
## 76 3.334060e-03 362 May 41-54,99 252.40255 8.613145
## 77 3.322212e-03 143 May 41-54,99 252.40255 8.613145
## 78 3.293174e-03 274 Oct 30-40,99 165.07663 8.613145
## 79 3.261003e-03 234 Jan 30-40,99 125.60996 8.613145
## 80 3.240546e-03 150 Dec 41-54,99 255.17207 8.840215
## 81 3.240128e-03 109 Jan 41-54,99 217.04255 8.613145
## 82 3.177307e-03 251 Jun 30-40,99 144.00996 8.613145
## 83 3.124121e-03 354 Aug 41-54,99 247.90921 8.613145
## 84 3.116573e-03 122 Feb 41-54,99 227.96255 8.613145
## 85 3.066836e-03 271 Jun 70-249,99 165.88637 8.613145
## 86 3.055919e-03 79 Mar 70-249,99 183.92637 8.613145
## 87 3.039474e-03 68 Jan 55-69,99 172.64367 8.613145
## 88 3.030121e-03 149 Mar 41-54,99 253.48255 8.613145
## 89 3.013902e-03 136 Jul 41-54,99 240.20255 8.613145
## 90 3.005082e-03 58 Mar 30-40,99 162.04996 8.613145
## 91 2.994572e-03 113 Nov 55-69,99 214.10177 8.840215
## 92 2.973929e-03 153 Oct 41-54,99 256.50921 8.613145
## 93 2.966272e-03 146 Apr 41-54,99 249.37588 8.613145
## 94 2.947983e-03 261 Apr 30-40,99 157.94330 8.613145
## 95 2.942599e-03 125 Feb 41-54,99 227.96255 8.613145
## 96 2.939958e-03 312 Mar 55-69,99 209.08367 8.613145
## 97 2.914515e-03 239 Feb 30-40,99 136.52996 8.613145
## 98 2.892179e-03 63 Oct 30-40,99 165.07663 8.613145
## 99 2.759581e-03 153 Sep 41-54,99 252.70921 8.613145
## 100 2.741731e-03 67 Dec 30-40,99 163.73949 8.840215
## 101 2.722522e-03 327 Feb 41-54,99 227.96255 8.613145
## 102 2.709663e-03 159 Dec 41-54,99 255.17207 8.840215
## 103 2.657463e-03 281 Sep 70-249,99 183.15303 8.613145
## 104 2.630879e-03 270 Jan 55-69,99 172.64367 8.613145
## 105 2.613948e-03 120 Jan 41-54,99 217.04255 8.613145
## 106 2.585736e-03 350 Mar 41-54,99 253.48255 8.613145
## 107 2.543364e-03 257 Sep 30-40,99 161.27663 8.613145
## 108 2.524932e-03 154 Apr 41-54,99 249.37588 8.613145
## 109 2.489757e-03 158 Sep 41-54,99 252.70921 8.613145
## 110 2.488949e-03 163 Dec 41-54,99 255.17207 8.840215
## 111 2.482111e-03 89 Feb 55-69,99 183.56367 8.613145
## 112 2.458370e-03 118 Oct 55-69,99 212.11034 8.613145
## 113 2.454888e-03 97 Jun 55-69,99 191.04367 8.613145
## 114 2.450330e-03 285 Jun 55-69,99 191.04367 8.613145
## 115 2.425680e-03 160 Mar 41-54,99 253.48255 8.613145
## 116 2.412594e-03 242 Jul 30-40,99 148.76996 8.613145
## 117 2.325894e-03 125 Nov 55-69,99 214.10177 8.840215
## 118 2.325073e-03 248 Aug 30-40,99 156.47663 8.613145
## 119 2.317689e-03 100 Nov 70-249,99 188.94446 8.840215
## 120 2.267846e-03 216 Jan 30-40,99 125.60996 8.613145
## 121 2.218566e-03 163 May 41-54,99 252.40255 8.613145
## 122 2.202768e-03 120 Mar 55-69,99 209.08367 8.613145
## 123 2.186175e-03 272 Dec 70-249,99 185.61589 8.840215
## 124 2.154896e-03 124 Oct 55-69,99 212.11034 8.613145
## 125 2.153101e-03 272 Mar 70-249,99 183.92637 8.613145
## 126 2.142142e-03 179 Aug 10-29,99 91.15079 8.613145
## 127 2.142032e-03 271 Sep 70-249,99 183.15303 8.613145
## 128 2.125593e-03 169 Oct 41-54,99 256.50921 8.613145
## 129 2.118012e-03 91 Aug 70-249,99 178.35303 8.613145
## 130 2.083911e-03 265 Aug 70-249,99 178.35303 8.613145
## 131 2.079907e-03 97 Feb 55-69,99 183.56367 8.613145
## 132 2.077686e-03 340 Mar 41-54,99 253.48255 8.613145
## 133 2.054342e-03 247 May 30-40,99 160.96996 8.613145
## 134 2.053083e-03 122 May 55-69,99 208.00367 8.613145
## 135 2.042664e-03 175 Nov 41-54,99 258.50064 8.840215
## 136 2.015012e-03 155 Jul 41-54,99 240.20255 8.613145
## 137 2.004358e-03 120 Apr 55-69,99 204.97700 8.613145
## 138 1.970172e-03 184 Oct 10-29,99 99.75079 8.613145
## 139 1.951376e-03 99 May 70-249,99 182.84637 8.613145
## 140 1.898523e-03 178 Nov 41-54,99 258.50064 8.840215
## 141 1.895796e-03 90 Jan 55-69,99 172.64367 8.613145
## 142 1.889684e-03 121 Aug 55-69,99 203.51034 8.613145
## 143 1.888141e-03 74 Aug 30-40,99 156.47663 8.613145
## 144 1.875329e-03 278 Jul 55-69,99 195.80367 8.613145
## 145 1.867428e-03 287 Apr 55-69,99 204.97700 8.613145
## 146 1.865014e-03 79 May 30-40,99 160.96996 8.613145
## 147 1.864366e-03 131 Dec 55-69,99 210.77319 8.840215
## 148 1.844306e-03 229 Jan 70-249,99 147.48637 8.613145
## 149 1.833563e-03 178 Mar 10-29,99 96.72412 8.613145
## 150 1.823350e-03 177 Sep 10-29,99 95.95079 8.613145
## 151 1.758447e-03 238 Feb 70-249,99 158.40637 8.613145
## 152 1.754913e-03 227 Jan 70-249,99 147.48637 8.613145
## 153 1.704057e-03 100 Aug 70-249,99 178.35303 8.613145
## 154 1.703793e-03 240 Dec 30-40,99 163.73949 8.840215
## 155 1.685549e-03 106 Mar 70-249,99 183.92637 8.613145
## 156 1.680938e-03 102 Apr 70-249,99 179.81970 8.613145
## 157 1.645556e-03 285 May 55-69,99 208.00367 8.613145
## 158 1.637331e-03 119 Jul 55-69,99 195.80367 8.613145
## 159 1.626850e-03 312 Jun 41-54,99 235.44255 8.613145
## 160 1.625682e-03 60 Feb 30-40,99 136.52996 8.613145
## 161 1.624800e-03 180 Oct 41-54,99 256.50921 8.613145
## 162 1.621970e-03 159 Jun 41-54,99 235.44255 8.613145
## 163 1.620435e-03 82 Feb 70-249,99 158.40637 8.613145
## 164 1.614131e-03 285 Dec 55-69,99 210.77319 8.840215
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## 721 2.714785e-05 222 Oct 55-69,99 212.11034 8.613145
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## 767 1.437456e-05 203 Jul 55-69,99 195.80367 8.613145
## 768 1.431059e-05 187 Apr 70-249,99 179.81970 8.613145
## 769 1.404609e-05 173 Jun 70-249,99 165.88637 8.613145
## 770 1.345578e-05 221 Feb 41-54,99 227.96255 8.613145
## 771 1.341036e-05 89 Sep 10-29,99 95.95079 8.613145
## 772 1.341036e-05 89 Sep 10-29,99 95.95079 8.613145
## 773 1.338147e-05 151 Apr 30-40,99 157.94330 8.613145
## 774 1.331630e-05 177 Mar 70-249,99 183.92637 8.613145
## 775 1.331630e-05 177 Mar 70-249,99 183.92637 8.613145
## 776 1.212748e-05 119 Jan 30-40,99 125.60996 8.613145
## 777 1.169411e-05 263 Oct 41-54,99 256.50921 8.613145
## 778 1.164315e-05 150 Aug 30-40,99 156.47663 8.613145
## 779 1.152656e-05 77 Jul 10-29,99 83.44412 8.613145
## 780 1.147251e-05 108 Nov 10-29,99 101.74222 8.840215
## 781 1.147251e-05 108 Nov 10-29,99 101.74222 8.840215
## 782 1.133390e-05 132 Jan 30-40,99 125.60996 8.613145
## 783 1.120301e-05 172 Aug 70-249,99 178.35303 8.613145
## 784 1.120301e-05 172 Aug 70-249,99 178.35303 8.613145
## 785 1.107236e-05 85 Jun 10-29,99 78.68412 8.613145
## 786 1.093517e-05 155 Sep 30-40,99 161.27663 8.613145
## 787 1.090758e-05 208 Nov 55-69,99 214.10177 8.840215
## 788 1.083985e-05 106 Oct 10-29,99 99.75079 8.613145
## 789 1.077343e-05 155 Jul 30-40,99 148.76996 8.613145
## 790 1.019204e-05 220 Nov 55-69,99 214.10177 8.840215
## 791 1.009282e-05 167 May 30-40,99 160.96996 8.613145
## 792 1.009282e-05 167 May 30-40,99 160.96996 8.613145
## 793 1.006926e-05 211 Apr 55-69,99 204.97700 8.613145
## 794 1.006926e-05 211 Apr 55-69,99 204.97700 8.613145
## 795 9.868158e-06 222 Feb 41-54,99 227.96255 8.613145
## 796 9.868158e-06 222 Feb 41-54,99 227.96255 8.613145
## 797 9.489289e-06 189 Sep 70-249,99 183.15303 8.613145
## 798 8.851215e-06 184 Aug 70-249,99 178.35303 8.613145
## 799 8.842294e-06 90 May 10-29,99 95.64412 8.613145
## 800 8.064103e-06 131 Jan 30-40,99 125.60996 8.613145
## 801 8.064103e-06 131 Jan 30-40,99 125.60996 8.613145
## 802 7.827385e-06 203 Sep 55-69,99 208.31034 8.613145
## 803 7.726136e-06 102 Mar 10-29,99 96.72412 8.613145
## 804 7.625324e-06 209 Nov 55-69,99 214.10177 8.840215
## 805 7.625324e-06 209 Nov 55-69,99 214.10177 8.840215
## 806 7.517390e-06 66 Feb 10-29,99 71.20412 8.613145
## 807 7.078624e-06 157 Mar 30-40,99 162.04996 8.613145
## 808 7.078624e-06 157 Mar 30-40,99 162.04996 8.613145
## 809 6.966930e-06 139 Jun 30-40,99 144.00996 8.613145
## 810 6.966930e-06 139 Jun 30-40,99 144.00996 8.613145
## 811 6.708949e-06 214 Mar 55-69,99 209.08367 8.613145
## 812 6.264747e-06 95 Oct 10-29,99 99.75079 8.613145
## 813 6.194615e-06 92 Mar 10-29,99 96.72412 8.613145
## 814 6.194615e-06 92 Mar 10-29,99 96.72412 8.613145
## 815 6.194615e-06 92 Mar 10-29,99 96.72412 8.613145
## 816 6.173025e-06 65 Jan 10-29,99 60.28412 8.613145
## 817 5.707052e-06 94 Dec 10-29,99 98.41364 8.840215
## 818 5.482063e-06 79 Jul 10-29,99 83.44412 8.613145
## 819 5.478183e-06 231 Jun 41-54,99 235.44255 8.613145
## 820 4.782261e-06 87 Aug 10-29,99 91.15079 8.613145
## 821 4.645004e-06 252 Aug 41-54,99 247.90921 8.613145
## 822 4.551074e-06 100 Sep 10-29,99 95.95079 8.613145
## 823 4.551074e-06 100 Sep 10-29,99 95.95079 8.613145
## 824 4.374670e-06 157 May 30-40,99 160.96996 8.613145
## 825 4.192375e-06 162 Jun 70-249,99 165.88637 8.613145
## 826 4.192375e-06 162 Jun 70-249,99 165.88637 8.613145
## 827 3.904965e-06 96 Oct 10-29,99 99.75079 8.613145
## 828 3.818881e-06 249 Sep 41-54,99 252.70921 8.613145
## 829 3.818881e-06 249 Sep 41-54,99 252.70921 8.613145
## 830 3.584594e-06 162 Feb 70-249,99 158.40637 8.613145
## 831 3.584594e-06 162 Feb 70-249,99 158.40637 8.613145
## 832 3.420347e-06 200 Aug 55-69,99 203.51034 8.613145
## 833 3.382354e-06 260 Oct 41-54,99 256.50921 8.613145
## 834 3.382354e-06 260 Oct 41-54,99 256.50921 8.613145
## 835 3.220738e-06 155 Feb 70-249,99 158.40637 8.613145
## 836 3.220738e-06 155 Feb 70-249,99 158.40637 8.613145
## 837 3.125974e-06 99 May 10-29,99 95.64412 8.613145
## 838 2.895927e-06 152 Jul 30-40,99 148.76996 8.613145
## 839 2.757683e-06 164 Nov 30-40,99 167.06806 8.840215
## 840 2.627380e-06 162 Oct 30-40,99 165.07663 8.613145
## 841 2.569491e-06 214 Jan 41-54,99 217.04255 8.613145
## 842 2.518420e-06 170 Nov 30-40,99 167.06806 8.840215
## 843 2.377005e-06 181 Mar 70-249,99 183.92637 8.613145
## 844 2.312467e-06 163 Jun 70-249,99 165.88637 8.613145
## 845 1.943894e-06 168 Jul 70-249,99 170.64637 8.613145
## 846 1.831978e-06 256 Nov 41-54,99 258.50064 8.840215
## 847 1.824303e-06 181 Feb 55-69,99 183.56367 8.613145
## 848 1.824303e-06 181 Feb 55-69,99 183.56367 8.613145
## 849 1.824303e-06 181 Feb 55-69,99 183.56367 8.613145
## 850 1.813232e-06 86 Jul 10-29,99 83.44412 8.613145
## 851 1.776645e-06 134 Feb 30-40,99 136.52996 8.613145
## 852 1.481574e-06 206 Sep 55-69,99 208.31034 8.613145
## 853 1.456605e-06 255 Sep 41-54,99 252.70921 8.613145
## 854 1.163038e-06 189 Oct 70-249,99 186.95303 8.613145
## 855 1.163038e-06 189 Oct 70-249,99 186.95303 8.613145
## 856 9.788950e-07 257 Dec 41-54,99 255.17207 8.840215
## 857 9.788950e-07 257 Dec 41-54,99 255.17207 8.840215
## 858 8.892438e-07 100 Nov 10-29,99 101.74222 8.840215
## 859 7.872606e-07 77 Jun 10-29,99 78.68412 8.613145
## 860 7.872606e-07 77 Jun 10-29,99 78.68412 8.613145
## 861 7.503078e-07 94 May 10-29,99 95.64412 8.613145
## 862 4.523786e-07 160 Sep 30-40,99 161.27663 8.613145
## 863 4.199612e-07 150 Jul 30-40,99 148.76996 8.613145
## 864 4.024500e-07 70 Feb 10-29,99 71.20412 8.613145
## 865 3.675886e-07 90 Aug 10-29,99 91.15079 8.613145
## 866 2.755361e-07 209 May 55-69,99 208.00367 8.613145
## 867 2.611454e-07 160 May 30-40,99 160.96996 8.613145
## 868 1.792786e-07 195 Jul 55-69,99 195.80367 8.613145
## 869 1.792786e-07 195 Jul 55-69,99 195.80367 8.613145
## 870 1.758198e-07 72 Feb 10-29,99 71.20412 8.613145
## 871 1.758198e-07 72 Feb 10-29,99 71.20412 8.613145
## 872 8.576989e-08 84 Jul 10-29,99 83.44412 8.613145
## 873 8.576989e-08 84 Jul 10-29,99 83.44412 8.613145
## 874 7.795839e-08 136 Feb 30-40,99 136.52996 8.613145
## 875 6.463257e-08 253 Mar 41-54,99 253.48255 8.613145
## 876 6.463257e-08 253 Mar 41-54,99 253.48255 8.613145
## 877 6.132498e-08 137 Feb 30-40,99 136.52996 8.613145
## 878 6.132498e-08 137 Feb 30-40,99 136.52996 8.613145
## 879 4.583629e-08 158 Feb 70-249,99 158.40637 8.613145
## 880 4.062017e-08 93 Apr 10-29,99 92.61745 8.613145
## 881 2.769601e-08 79 Jun 10-29,99 78.68412 8.613145
## 882 2.112581e-08 97 Mar 10-29,99 96.72412 8.613145
## 883 9.023233e-09 180 Apr 70-249,99 179.81970 8.613145
## 884 9.023233e-09 180 Apr 70-249,99 179.81970 8.613145
## 885 6.500499e-09 183 Sep 70-249,99 183.15303 8.613145
## 886 6.500499e-09 183 Sep 70-249,99 183.15303 8.613145
## 887 6.310990e-09 91 Aug 10-29,99 91.15079 8.613145
## 888 8.924867e-10 158 Apr 30-40,99 157.94330 8.613145
## 889 8.924867e-10 158 Apr 30-40,99 157.94330 8.613145
## 890 8.924867e-10 158 Apr 30-40,99 157.94330 8.613145
## .resid .hat .sigma .std.resid
## 1 271.49935795 0.01878010 63.87491 4.2488530066
## 2 255.49078652 0.01782772 63.95253 3.9963864703
## 3 246.89823435 0.01878010 63.99134 3.8638555659
## 4 246.22680578 0.01878010 63.99436 3.8533479856
## 5 244.09078652 0.01782772 64.00444 3.8180676887
## 6 234.68966292 0.01782772 64.04544 3.6710153286
## 7 229.95745318 0.01782772 64.06546 3.5969941115
## 8 225.95632959 0.01782772 64.08206 3.5344085427
## 9 219.49935795 0.01878010 64.10780 3.4350744473
## 10 215.82792937 0.01878010 64.12235 3.3776181040
## 11 219.49078652 0.01782772 64.10826 3.4332745284
## 12 219.29078652 0.01782772 64.10906 3.4301461287
## 13 217.48966292 0.01782772 64.11621 3.4019729564
## 14 208.88966292 0.01782772 64.14956 3.2674517702
## 15 203.51745318 0.01782772 64.16969 3.1834196742
## 16 198.88966292 0.01782772 64.18661 3.1110317864
## 17 189.99632959 0.01782772 64.21803 2.9719222807
## 18 184.19632959 0.01782772 64.23773 2.8811986901
## 19 181.79745318 0.01782772 64.24570 2.8436754692
## 20 173.82792937 0.01878010 64.27115 2.7203354216
## 21 178.09078652 0.01782772 64.25781 2.7856957952
## 22 177.35632959 0.01782772 64.26018 2.7742074211
## 23 172.55745318 0.01782772 64.27541 2.6991434042
## 24 170.62411985 0.01782772 64.28143 2.6689022073
## 25 168.92337079 0.01782772 64.28667 2.6422990932
## 26 159.26051364 0.01878010 64.31520 2.4923613718
## 27 161.59745318 0.01782772 64.30863 2.5277071019
## 28 160.51745318 0.01782772 64.31178 2.5108137436
## 29 -158.48254682 0.01782772 64.31767 -2.4789837415
## 30 153.38410915 0.01878010 64.33188 2.4003980645
## 31 152.89823435 0.01878010 64.33323 2.3927943242
## 32 152.22680578 0.01878010 64.33509 2.3822867439
## 33 149.05553772 0.01878010 64.34375 2.3326577064
## 34 151.91632959 0.01782772 64.33615 2.3762749822
## 35 151.59745318 0.01782772 64.33702 2.3712871180
## 36 -145.50064205 0.01878010 64.35325 -2.2770250550
## 37 149.03745318 0.01782772 64.34400 2.3312436021
## 38 -148.50921348 0.01782772 64.34542 -2.3229808776
## 39 -148.40254682 0.01782772 64.34571 -2.3213123978
## 40 140.93194222 0.01878010 64.36512 2.2055267863
## 41 -142.96254682 0.01782772 64.36007 -2.2362199265
## 42 142.29078652 0.01782772 64.36181 2.2257122530
## 43 140.91632959 0.01782772 64.36533 2.2042130000
## 44 140.72337079 0.01782772 64.36583 2.2011947387
## 45 140.52337079 0.01782772 64.36634 2.1980663390
## 46 137.43632959 0.01782772 64.37411 2.1497788456
## 47 -137.37588015 0.01782772 64.37426 -2.1488332956
## 48 -137.04254682 0.01782772 64.37509 -2.1436192961
## 49 -135.44254682 0.01782772 64.37904 -2.1185920987
## 50 134.68966292 0.01782772 64.38088 2.1068154900
## 51 129.38410915 0.01878010 64.39342 2.0248079602
## 52 -132.00367041 0.01782772 64.38737 -2.0648011995
## 53 -130.90921348 0.01782772 64.38997 -2.0476817060
## 54 129.55745318 0.01782772 64.39316 2.0265374736
## 55 126.05553772 0.01878010 64.40113 1.9727171898
## 56 128.99632959 0.01782772 64.39448 2.0177603792
## 57 124.95745318 0.01782772 64.40376 1.9545842810
## 58 124.02299625 0.01782772 64.40587 1.9399675072
## 59 123.04696629 0.01782772 64.40805 1.9247004481
## 60 122.15363296 0.01782772 64.41004 1.9107269296
## 61 122.04696629 0.01782772 64.41027 1.9090584497
## 62 121.91632959 0.01782772 64.41056 1.9070150306
## 63 -120.08367041 0.01782772 64.41458 -1.8783485787
## 64 -115.17207063 0.01878010 64.42492 -1.8023954173
## 65 117.02299625 0.01782772 64.42115 1.8304735185
## 66 -114.11033708 0.01782772 64.42724 -1.7849137084
## 67 110.93194222 0.01878010 64.43361 1.7360391559
## 68 -110.77319422 0.01878010 64.43392 -1.7335548153
## 69 113.43632959 0.01782772 64.42863 1.7743708843
## 70 112.48966292 0.01782772 64.43056 1.7595631258
## 71 109.38410915 0.01878010 64.43669 1.7118162067
## 72 109.38410915 0.01878010 64.43669 1.7118162067
## 73 110.62411985 0.01782772 64.43433 1.7303823041
## 74 110.59363296 0.01782772 64.43439 1.7299054282
## 75 -109.90921348 0.01782772 64.43576 -1.7191997399
## 76 109.59745318 0.01782772 64.43638 1.7143231858
## 77 -109.40254682 0.01782772 64.43676 -1.7112744607
## 78 108.92337079 0.01782772 64.43771 1.7037791900
## 79 108.39003745 0.01782772 64.43876 1.6954367909
## 80 -105.17207063 0.01878010 64.44488 -1.6458995405
## 81 -108.04254682 0.01782772 64.43944 -1.6900013429
## 82 106.99003745 0.01782772 64.44149 1.6735379931
## 83 106.09078652 0.01782772 64.44322 1.6594719114
## 84 -105.96254682 0.01782772 64.44347 -1.6574659863
## 85 105.11363296 0.01782772 64.44509 1.6441872771
## 86 -104.92636704 0.01782772 64.44544 -1.6412580639
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## 88 -104.48254682 0.01782772 64.44629 -1.6343158287
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## 93 -103.37588015 0.01782772 64.44837 -1.6170053504
## 94 103.05670412 0.01782772 64.44896 1.6120127995
## 95 -102.96254682 0.01782772 64.44914 -1.6105399911
## 96 102.91632959 0.01782772 64.44922 1.6098170613
## 97 102.47003745 0.01782772 64.45005 1.6028361604
## 98 -102.07662921 0.01782772 64.45078 -1.5966824694
## 99 -99.70921348 0.01782772 64.45510 -1.5596513564
## 100 -96.73948636 0.01878010 64.46030 -1.5139330736
## 101 99.03745318 0.01782772 64.45631 1.5491436828
## 102 -96.17207063 0.01878010 64.46129 -1.5050532514
## 103 97.84696629 0.01782772 64.45843 1.5305220888
## 104 97.35632959 0.01782772 64.45930 1.5228475503
## 105 -97.04254682 0.01782772 64.45985 -1.5179393607
## 106 96.51745318 0.01782772 64.46077 1.5097258469
## 107 95.72337079 0.01782772 64.46215 1.4973048113
## 108 -95.37588015 0.01782772 64.46275 -1.4918693634
## 109 -94.70921348 0.01782772 64.46390 -1.4814413644
## 110 -92.17207063 0.01878010 64.46811 -1.4424549007
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## 112 -94.11033708 0.01782772 64.46492 -1.4720737407
## 113 -94.04367041 0.01782772 64.46503 -1.4710309408
## 114 93.95632959 0.01782772 64.46518 1.4696647558
## 115 -93.48254682 0.01782772 64.46599 -1.4622538464
## 116 93.23003745 0.01782772 64.46641 1.4583040954
## 117 -89.10176565 0.01878010 64.47315 -1.3944058938
## 118 91.52337079 0.01782772 64.46926 1.4316084181
## 119 -88.94446228 0.01878010 64.47341 -1.3919441609
## 120 90.39003745 0.01782772 64.47113 1.4138808199
## 121 -89.40254682 0.01782772 64.47274 -1.3984344930
## 122 -89.08367041 0.01782772 64.47325 -1.3934466288
## 123 86.38410915 0.01878010 64.47747 1.3518756901
## 124 -88.11033708 0.01782772 64.47481 -1.3782217504
## 125 88.07363296 0.01782772 64.47487 1.3776476246
## 126 87.84921348 0.01782772 64.47523 1.3741372555
## 127 87.84696629 0.01782772 64.47523 1.3741021049
## 128 -87.50921348 0.01782772 64.47577 -1.3688189760
## 129 -87.35303371 0.01782772 64.47601 -1.3663760123
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## 131 -86.56367041 0.01782772 64.47725 -1.3540287929
## 132 86.51745318 0.01782772 64.47733 1.3533058630
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## 137 -84.97700375 0.01782772 64.47972 -1.3292101554
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## 139 -83.84636704 0.01782772 64.48144 -1.3115247379
## 140 -80.50064205 0.01878010 64.48636 -1.2598018559
## 141 -82.64367041 0.01782772 64.48325 -1.2927121592
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## 143 -82.47662921 0.01782772 64.48350 -1.2900993010
## 144 82.19632959 0.01782772 64.48392 1.2857148547
## 145 82.02299625 0.01782772 64.48418 1.2830035750
## 146 -81.96996255 0.01782772 64.48426 -1.2821740218
## 147 -79.77319422 0.01878010 64.48741 -1.2484175973
## 148 81.51363296 0.01782772 64.48493 1.2750361152
## 149 81.27588015 0.01782772 64.48528 1.2713171861
## 150 81.04921348 0.01782772 64.48561 1.2677716665
## 151 79.59363296 0.01782772 64.48773 1.2450034783
## 152 79.51363296 0.01782772 64.48784 1.2437521184
## 153 -78.35303371 0.01782772 64.48950 -1.2255980268
## 154 76.26051364 0.01878010 64.49237 1.1934455946
## 155 -77.92636704 0.01782772 64.49010 -1.2189241075
## 156 -77.81970037 0.01782772 64.49025 -1.2172556276
## 157 76.99632959 0.01782772 64.49140 1.2043764631
## 158 -76.80367041 0.01782772 64.49167 -1.2013628886
## 159 76.55745318 0.01782772 64.49201 1.1975115591
## 160 -76.52996255 0.01782772 64.49205 -1.1970815506
## 161 -76.50921348 0.01782772 64.49208 -1.1967569938
## 162 -76.44254682 0.01782772 64.49217 -1.1957141939
## 163 -76.40636704 0.01782772 64.49222 -1.1951482699
## 164 74.22680578 0.01878010 64.49514 1.1616189051
## 165 -76.15303371 0.01782772 64.49257 -1.1911856303
## 166 -76.08367041 0.01782772 64.49267 -1.1901006498
## 167 76.03003745 0.01782772 64.49274 1.1892617231
## 168 -75.64636704 0.01782772 64.49327 -1.1832603512
## 169 -75.31033708 0.01782772 64.49373 -1.1780041710
## 170 -73.06805778 0.01878010 64.49669 -1.1434849767
## 171 -74.94329588 0.01782772 64.49423 -1.1722629132
## 172 -74.92636704 0.01782772 64.49425 -1.1719981123
## 173 74.64696629 0.01782772 64.49463 1.1676277262
## 174 -74.64367041 0.01782772 64.49463 -1.1675761721
## 175 -72.61589085 0.01878010 64.49728 -1.1364087507
## 176 74.07363296 0.01782772 64.49540 1.1586596472
## 177 74.07363296 0.01782772 64.49540 1.1586596472
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## 778 -6.47662921 0.01782772 64.54461 -0.1013074237
## 779 -6.44411985 0.01782772 64.54461 -0.1007989123
## 780 6.25778491 0.01878010 64.54463 0.0979317536
## 781 6.25778491 0.01878010 64.54463 0.0979317536
## 782 6.39003745 0.01782772 64.54462 0.0999529555
## 783 -6.35303371 0.01782772 64.54462 -0.0993741430
## 784 -6.35303371 0.01782772 64.54462 -0.0993741430
## 785 6.31588015 0.01782772 64.54463 0.0987929871
## 786 -6.27662921 0.01782772 64.54463 -0.0981790240
## 787 -6.10176565 0.01878010 64.54465 -0.0954901165
## 788 6.24921348 0.01782772 64.54463 0.0977501872
## 789 6.23003745 0.01782772 64.54464 0.0974502358
## 790 5.89823435 0.01878010 64.54467 0.0923049356
## 791 6.03003745 0.01782772 64.54466 0.0943218361
## 792 6.03003745 0.01782772 64.54466 0.0943218361
## 793 6.02299625 0.01782772 64.54466 0.0942116977
## 794 6.02299625 0.01782772 64.54466 0.0942116977
## 795 -5.96254682 0.01782772 64.54467 -0.0932661477
## 796 -5.96254682 0.01782772 64.54467 -0.0932661477
## 797 5.84696629 0.01782772 64.54468 0.0914582373
## 798 5.64696629 0.01782772 64.54470 0.0883298376
## 799 -5.64411985 0.01782772 64.54470 -0.0882853136
## 800 5.39003745 0.01782772 64.54472 0.0843109571
## 801 5.39003745 0.01782772 64.54472 0.0843109571
## 802 -5.31033708 0.01782772 64.54473 -0.0830642840
## 803 5.27588015 0.01782772 64.54474 0.0825253088
## 804 -5.10176565 0.01878010 64.54475 -0.0798405289
## 805 -5.10176565 0.01878010 64.54475 -0.0798405289
## 806 -5.20411985 0.01782772 64.54474 -0.0814028343
## 807 -5.04996255 0.01782772 64.54476 -0.0789915060
## 808 -5.04996255 0.01782772 64.54476 -0.0789915060
## 809 -5.00996255 0.01782772 64.54476 -0.0783658261
## 810 -5.00996255 0.01782772 64.54476 -0.0783658261
## 811 4.91632959 0.01782772 64.54477 0.0769012195
## 812 -4.75078652 0.01782772 64.54478 -0.0743117950
## 813 -4.72411985 0.01782772 64.54479 -0.0738946751
## 814 -4.72411985 0.01782772 64.54479 -0.0738946751
## 815 -4.72411985 0.01782772 64.54479 -0.0738946751
## 816 4.71588015 0.01782772 64.54479 0.0737657897
## 817 -4.41364366 0.01878010 64.54481 -0.0690717034
## 818 -4.44411985 0.01782772 64.54481 -0.0695149155
## 819 -4.44254682 0.01782772 64.54481 -0.0694903101
## 820 -4.15078652 0.01782772 64.54483 -0.0649265960
## 821 4.09078652 0.01782772 64.54484 0.0639880761
## 822 4.04921348 0.01782772 64.54484 0.0633377908
## 823 4.04921348 0.01782772 64.54484 0.0633377908
## 824 -3.96996255 0.01782772 64.54485 -0.0620981477
## 825 -3.88636704 0.01782772 64.54485 -0.0607905470
## 826 -3.88636704 0.01782772 64.54485 -0.0607905470
## 827 -3.75078652 0.01782772 64.54486 -0.0586697966
## 828 -3.70921348 0.01782772 64.54486 -0.0580195113
## 829 -3.70921348 0.01782772 64.54486 -0.0580195113
## 830 3.59363296 0.01782772 64.54487 0.0562116009
## 831 3.59363296 0.01782772 64.54487 0.0562116009
## 832 -3.51033708 0.01782772 64.54488 -0.0549086869
## 833 3.49078652 0.01782772 64.54488 0.0546028771
## 834 3.49078652 0.01782772 64.54488 0.0546028771
## 835 -3.40636704 0.01782772 64.54488 -0.0532823878
## 836 -3.40636704 0.01782772 64.54488 -0.0532823878
## 837 3.35588015 0.01782772 64.54489 0.0524926719
## 838 3.23003745 0.01782772 64.54489 0.0505242406
## 839 -3.06805778 0.01878010 64.54490 -0.0480138393
## 840 -3.07662921 0.01782772 64.54490 -0.0481246292
## 841 -3.04254682 0.01782772 64.54490 -0.0475915124
## 842 2.93194222 0.01878010 64.54491 0.0458836868
## 843 -2.92636704 0.01782772 64.54491 -0.0457742285
## 844 -2.88636704 0.01782772 64.54491 -0.0451485486
## 845 -2.64636704 0.01782772 64.54492 -0.0413944690
## 846 -2.50064205 0.01878010 64.54493 -0.0391340171
## 847 -2.56367041 0.01782772 64.54493 -0.0401009284
## 848 -2.56367041 0.01782772 64.54493 -0.0401009284
## 849 -2.56367041 0.01782772 64.54493 -0.0401009284
## 850 2.55588015 0.01782772 64.54493 0.0399790732
## 851 -2.52996255 0.01782772 64.54493 -0.0395736701
## 852 -2.31033708 0.01782772 64.54494 -0.0361382889
## 853 2.29078652 0.01782772 64.54494 0.0358324790
## 854 2.04696629 0.01782772 64.54495 0.0320186434
## 855 2.04696629 0.01782772 64.54495 0.0320186434
## 856 1.82792937 0.01878010 64.54496 0.0286063410
## 857 1.82792937 0.01878010 64.54496 0.0286063410
## 858 -1.74221509 0.01878010 64.54496 -0.0272649478
## 859 -1.68411985 0.01782772 64.54496 -0.0263430000
## 860 -1.68411985 0.01782772 64.54496 -0.0263430000
## 861 -1.64411985 0.01782772 64.54496 -0.0257173200
## 862 -1.27662921 0.01782772 64.54497 -0.0199690321
## 863 1.23003745 0.01782772 64.54497 0.0192402439
## 864 -1.20411985 0.01782772 64.54497 -0.0188348408
## 865 -1.15078652 0.01782772 64.54498 -0.0180006008
## 866 0.99632959 0.01782772 64.54498 0.0155845858
## 867 -0.96996255 0.01782772 64.54498 -0.0151721526
## 868 -0.80367041 0.01782772 64.54498 -0.0125710113
## 869 -0.80367041 0.01782772 64.54498 -0.0125710113
## 870 0.79588015 0.01782772 64.54498 0.0124491560
## 871 0.79588015 0.01782772 64.54498 0.0124491560
## 872 0.55588015 0.01782772 64.54498 0.0086950764
## 873 0.55588015 0.01782772 64.54498 0.0086950764
## 874 -0.52996255 0.01782772 64.54498 -0.0082896733
## 875 -0.48254682 0.01782772 64.54499 -0.0075479965
## 876 -0.48254682 0.01782772 64.54499 -0.0075479965
## 877 0.47003745 0.01782772 64.54499 0.0073523251
## 878 0.47003745 0.01782772 64.54499 0.0073523251
## 879 -0.40636704 0.01782772 64.54499 -0.0063563926
## 880 0.38254682 0.01782772 64.54499 0.0059837967
## 881 0.31588015 0.01782772 64.54499 0.0049409968
## 882 0.27588015 0.01782772 64.54499 0.0043153169
## 883 0.18029963 0.01782772 64.54499 0.0028202465
## 884 0.18029963 0.01782772 64.54499 0.0028202465
## 885 -0.15303371 0.01782772 64.54499 -0.0023937530
## 886 -0.15303371 0.01782772 64.54499 -0.0023937530
## 887 -0.15078652 0.01782772 64.54499 -0.0023586025
## 888 0.05670412 0.01782772 64.54499 0.0008869658
## 889 0.05670412 0.01782772 64.54499 0.0008869658
## 890 0.05670412 0.01782772 64.54499 0.0008869658Overlay fitted values to previous plot.
p + geom_line(data = predicted_transa, aes(month, .fitted, group = 1),
color = "red",
size = 2) +
labs(caption = "Red line: model fit of seasonal effect to number of transactions.\nSource: Estonian Land Board, transactions database.")
The number of transactions increases during period from March to May?
Do we have similar effect to average price per m^2?
predicted_pua <- harju %>%
lm(price_unit_area_mean ~ month + area, data = .) %>%
augment()
predicted_pua## price_unit_area_mean month area .fitted .se.fit .resid
## 1 766.69 Jan 10-29,99 1167.756 36.64060 -401.066026
## 2 738.23 Jan 30-40,99 1143.193 36.64060 -404.963105
## 3 719.91 Jan 41-54,99 1159.304 36.64060 -439.393723
## 4 699.59 Jan 55-69,99 1166.595 36.64060 -467.004566
## 5 886.06 Jan 70-249,99 1347.656 36.64060 -461.595914
## 6 705.96 Feb 10-29,99 1175.696 36.64060 -469.736293
## 7 764.69 Feb 30-40,99 1151.133 36.64060 -386.443372
## 8 704.45 Feb 41-54,99 1167.244 36.64060 -462.793990
## 9 711.18 Feb 55-69,99 1174.535 36.64060 -463.354832
## 10 882.86 Feb 70-249,99 1355.596 36.64060 -472.736181
## 11 776.09 Mar 10-29,99 1200.768 36.64060 -424.678026
## 12 776.16 Mar 30-40,99 1176.205 36.64060 -400.045105
## 13 763.75 Mar 41-54,99 1192.316 36.64060 -428.565723
## 14 724.00 Mar 55-69,99 1199.607 36.64060 -475.606566
## 15 859.89 Mar 70-249,99 1380.668 36.64060 -520.777914
## 16 778.80 Apr 10-29,99 1193.430 36.64060 -414.629626
## 17 783.59 Apr 30-40,99 1168.867 36.64060 -385.276705
## 18 817.39 Apr 41-54,99 1184.977 36.64060 -367.587323
## 19 804.49 Apr 55-69,99 1192.268 36.64060 -387.778166
## 20 882.92 Apr 70-249,99 1373.330 36.64060 -490.409514
## 21 779.35 May 10-29,99 1188.790 36.64060 -409.439760
## 22 818.27 May 30-40,99 1164.227 36.64060 -345.956838
## 23 798.03 May 41-54,99 1180.337 36.64060 -382.307456
## 24 767.60 May 55-69,99 1187.628 36.64060 -420.028299
## 25 905.80 May 70-249,99 1368.690 36.64060 -462.889647
## 26 859.31 Jun 10-29,99 1193.928 36.64060 -334.618293
## 27 870.51 Jun 30-40,99 1169.365 36.64060 -298.855372
## 28 799.51 Jun 41-54,99 1185.476 36.64060 -385.965990
## 29 806.55 Jun 55-69,99 1192.767 36.64060 -386.216832
## 30 957.21 Jun 70-249,99 1373.828 36.64060 -416.618181
## 31 845.93 Jul 10-29,99 1175.566 36.64060 -329.636160
## 32 860.08 Jul 30-40,99 1151.003 36.64060 -290.923238
## 33 819.97 Jul 41-54,99 1167.114 36.64060 -347.143856
## 34 778.50 Jul 55-69,99 1174.405 36.64060 -395.904699
## 35 1006.41 Jul 70-249,99 1355.466 36.64060 -349.056047
## 36 888.78 Aug 10-29,99 1221.775 36.64060 -332.994960
## 37 888.54 Aug 30-40,99 1197.212 36.64060 -308.672038
## 38 816.49 Aug 41-54,99 1213.323 36.64060 -396.832656
## 39 792.00 Aug 55-69,99 1220.613 36.64060 -428.613499
## 40 982.25 Aug 70-249,99 1401.675 36.64060 -419.424847
## 41 1010.27 Sep 10-29,99 1224.801 36.64060 -214.531093
## 42 941.44 Sep 30-40,99 1200.238 36.64060 -258.798172
## 43 909.09 Sep 41-54,99 1216.349 36.64060 -307.258790
## 44 877.24 Sep 55-69,99 1223.640 36.64060 -346.399632
## 45 947.69 Sep 70-249,99 1404.701 36.64060 -457.010981
## 46 968.43 Oct 10-29,99 1215.179 36.64060 -246.748560
## 47 819.03 Oct 30-40,99 1190.616 36.64060 -371.585638
## 48 847.90 Oct 41-54,99 1206.726 36.64060 -358.826256
## 49 872.47 Oct 55-69,99 1214.017 36.64060 -341.547099
## 50 1045.09 Oct 70-249,99 1395.078 36.64060 -349.988447
## 51 1112.38 Nov 10-29,99 1197.360 37.60656 -84.979645
## 52 1051.20 Nov 30-40,99 1172.797 37.60656 -121.596724
## 53 959.36 Nov 41-54,99 1188.907 37.60656 -229.547342
## 54 929.31 Nov 55-69,99 1196.198 37.60656 -266.888185
## 55 1064.93 Nov 70-249,99 1377.260 37.60656 -312.329533
## 56 1298.98 Dec 10-29,99 1222.436 37.60656 76.544069
## 57 1136.87 Dec 30-40,99 1197.873 37.60656 -61.003010
## 58 1060.89 Dec 41-54,99 1213.984 37.60656 -153.093628
## 59 985.15 Dec 55-69,99 1221.274 37.60656 -236.124470
## 60 1076.25 Dec 70-249,99 1402.336 37.60656 -326.085819
## 61 1202.39 Jan 10-29,99 1167.756 36.64060 34.633974
## 62 1104.36 Jan 30-40,99 1143.193 36.64060 -38.833105
## 63 1016.36 Jan 41-54,99 1159.304 36.64060 -142.943723
## 64 1007.88 Jan 55-69,99 1166.595 36.64060 -158.714566
## 65 1124.67 Jan 70-249,99 1347.656 36.64060 -222.985914
## 66 1392.61 Feb 10-29,99 1175.696 36.64060 216.913707
## 67 1343.24 Feb 30-40,99 1151.133 36.64060 192.106628
## 68 1200.32 Feb 41-54,99 1167.244 36.64060 33.076010
## 69 1119.66 Feb 55-69,99 1174.535 36.64060 -54.874832
## 70 1205.35 Feb 70-249,99 1355.596 36.64060 -150.246181
## 71 1215.19 Mar 10-29,99 1200.768 36.64060 14.421974
## 72 1259.87 Mar 30-40,99 1176.205 36.64060 83.664895
## 73 1126.32 Mar 41-54,99 1192.316 36.64060 -65.995723
## 74 1097.07 Mar 55-69,99 1199.607 36.64060 -102.536566
## 75 1212.55 Mar 70-249,99 1380.668 36.64060 -168.117914
## 76 1374.94 Apr 10-29,99 1193.430 36.64060 181.510374
## 77 1296.08 Apr 30-40,99 1168.867 36.64060 127.213295
## 78 1213.02 Apr 41-54,99 1184.977 36.64060 28.042677
## 79 1170.47 Apr 55-69,99 1192.268 36.64060 -21.798166
## 80 1298.52 Apr 70-249,99 1373.330 36.64060 -74.809514
## 81 1429.55 May 10-29,99 1188.790 36.64060 240.760240
## 82 1394.81 May 30-40,99 1164.227 36.64060 230.583162
## 83 1198.85 May 41-54,99 1180.337 36.64060 18.512544
## 84 1167.35 May 55-69,99 1187.628 36.64060 -20.278299
## 85 1287.25 May 70-249,99 1368.690 36.64060 -81.439647
## 86 1443.99 Jun 10-29,99 1193.928 36.64060 250.061707
## 87 1339.91 Jun 30-40,99 1169.365 36.64060 170.544628
## 88 1222.91 Jun 41-54,99 1185.476 36.64060 37.434010
## 89 1188.10 Jun 55-69,99 1192.767 36.64060 -4.666832
## 90 1335.12 Jun 70-249,99 1373.828 36.64060 -38.708181
## 91 1477.89 Jul 10-29,99 1175.566 36.64060 302.323840
## 92 1370.73 Jul 30-40,99 1151.003 36.64060 219.726762
## 93 1162.30 Jul 41-54,99 1167.114 36.64060 -4.813856
## 94 1207.29 Jul 55-69,99 1174.405 36.64060 32.885301
## 95 1262.96 Jul 70-249,99 1355.466 36.64060 -92.506047
## 96 1452.69 Aug 10-29,99 1221.775 36.64060 230.915040
## 97 1342.30 Aug 30-40,99 1197.212 36.64060 145.087962
## 98 1280.71 Aug 41-54,99 1213.323 36.64060 67.387344
## 99 1238.31 Aug 55-69,99 1220.613 36.64060 17.696501
## 100 1470.18 Aug 70-249,99 1401.675 36.64060 68.505153
## 101 1449.79 Sep 10-29,99 1224.801 36.64060 224.988907
## 102 1387.06 Sep 30-40,99 1200.238 36.64060 186.821828
## 103 1380.55 Sep 41-54,99 1216.349 36.64060 164.201210
## 104 1377.30 Sep 55-69,99 1223.640 36.64060 153.660368
## 105 1438.80 Sep 70-249,99 1404.701 36.64060 34.099019
## 106 1580.35 Oct 10-29,99 1215.179 36.64060 365.171440
## 107 1461.71 Oct 30-40,99 1190.616 36.64060 271.094362
## 108 1363.32 Oct 41-54,99 1206.726 36.64060 156.593744
## 109 1264.45 Oct 55-69,99 1214.017 36.64060 50.432901
## 110 1387.98 Oct 70-249,99 1395.078 36.64060 -7.098447
## 111 1534.35 Nov 10-29,99 1197.360 37.60656 336.990355
## 112 1340.34 Nov 30-40,99 1172.797 37.60656 167.543276
## 113 1461.78 Nov 41-54,99 1188.907 37.60656 272.872658
## 114 1405.14 Nov 55-69,99 1196.198 37.60656 208.941815
## 115 1512.21 Nov 70-249,99 1377.260 37.60656 134.950467
## 116 1543.96 Dec 10-29,99 1222.436 37.60656 321.524069
## 117 1551.39 Dec 30-40,99 1197.873 37.60656 353.516990
## 118 1499.03 Dec 41-54,99 1213.984 37.60656 285.046372
## 119 1398.47 Dec 55-69,99 1221.274 37.60656 177.195530
## 120 1528.21 Dec 70-249,99 1402.336 37.60656 125.874181
## 121 1489.97 Jan 10-29,99 1167.756 36.64060 322.213974
## 122 1463.49 Jan 30-40,99 1143.193 36.64060 320.296895
## 123 1478.36 Jan 41-54,99 1159.304 36.64060 319.056277
## 124 1366.33 Jan 55-69,99 1166.595 36.64060 199.735434
## 125 1507.00 Jan 70-249,99 1347.656 36.64060 159.344086
## 126 1605.01 Feb 10-29,99 1175.696 36.64060 429.313707
## 127 1565.63 Feb 30-40,99 1151.133 36.64060 414.496628
## 128 1457.27 Feb 41-54,99 1167.244 36.64060 290.026010
## 129 1505.07 Feb 55-69,99 1174.535 36.64060 330.535168
## 130 1566.00 Feb 70-249,99 1355.596 36.64060 210.403819
## 131 1615.97 Mar 10-29,99 1200.768 36.64060 415.201974
## 132 1599.03 Mar 30-40,99 1176.205 36.64060 422.824895
## 133 1617.83 Mar 41-54,99 1192.316 36.64060 425.514277
## 134 1485.94 Mar 55-69,99 1199.607 36.64060 286.333434
## 135 1634.58 Mar 70-249,99 1380.668 36.64060 253.912086
## 136 1725.98 Apr 10-29,99 1193.430 36.64060 532.550374
## 137 1604.90 Apr 30-40,99 1168.867 36.64060 436.033295
## 138 1615.97 Apr 41-54,99 1184.977 36.64060 430.992677
## 139 1495.62 Apr 55-69,99 1192.268 36.64060 303.351834
## 140 1579.76 Apr 70-249,99 1373.330 36.64060 206.430486
## 141 1615.85 May 10-29,99 1188.790 36.64060 427.060240
## 142 1550.06 May 30-40,99 1164.227 36.64060 385.833162
## 143 1499.15 May 41-54,99 1180.337 36.64060 318.812544
## 144 1456.40 May 55-69,99 1187.628 36.64060 268.771701
## 145 1471.56 May 70-249,99 1368.690 36.64060 102.870353
## 146 1592.15 Jun 10-29,99 1193.928 36.64060 398.221707
## 147 1650.16 Jun 30-40,99 1169.365 36.64060 480.794628
## 148 1524.03 Jun 41-54,99 1185.476 36.64060 338.554010
## 149 1504.79 Jun 55-69,99 1192.767 36.64060 312.023168
## 150 1648.59 Jun 70-249,99 1373.828 36.64060 274.761819
## 151 1512.35 Jul 10-29,99 1175.566 36.64060 336.783840
## 152 1448.29 Jul 30-40,99 1151.003 36.64060 297.286762
## 153 1518.03 Jul 41-54,99 1167.114 36.64060 350.916144
## 154 1401.99 Jul 55-69,99 1174.405 36.64060 227.585301
## 155 1593.45 Jul 70-249,99 1355.466 36.64060 237.983953
## 156 1665.78 Aug 10-29,99 1221.775 36.64060 444.005040
## 157 1513.20 Aug 30-40,99 1197.212 36.64060 315.987962
## 158 1567.51 Aug 41-54,99 1213.323 36.64060 354.187344
## 159 1460.78 Aug 55-69,99 1220.613 36.64060 240.166501
## 160 1645.09 Aug 70-249,99 1401.675 36.64060 243.415153
## 161 1540.07 Sep 10-29,99 1224.801 36.64060 315.268907
## 162 1455.00 Sep 30-40,99 1200.238 36.64060 254.761828
## 163 1502.50 Sep 41-54,99 1216.349 36.64060 286.151210
## 164 1448.42 Sep 55-69,99 1223.640 36.64060 224.780368
## 165 1716.98 Sep 70-249,99 1404.701 36.64060 312.279019
## 166 1395.42 Oct 10-29,99 1215.179 36.64060 180.241440
## 167 1423.03 Oct 30-40,99 1190.616 36.64060 232.414362
## 168 1464.55 Oct 41-54,99 1206.726 36.64060 257.823744
## 169 1373.94 Oct 55-69,99 1214.017 36.64060 159.922901
## 170 1454.92 Oct 70-249,99 1395.078 36.64060 59.841553
## 171 1445.82 Nov 10-29,99 1197.360 37.60656 248.460355
## 172 1463.88 Nov 30-40,99 1172.797 37.60656 291.083276
## 173 1437.59 Nov 41-54,99 1188.907 37.60656 248.682658
## 174 1415.95 Nov 55-69,99 1196.198 37.60656 219.751815
## 175 1644.81 Nov 70-249,99 1377.260 37.60656 267.550467
## 176 1408.61 Dec 10-29,99 1222.436 37.60656 186.174069
## 177 1446.72 Dec 30-40,99 1197.873 37.60656 248.846990
## 178 1430.08 Dec 41-54,99 1213.984 37.60656 216.096372
## 179 1452.77 Dec 55-69,99 1221.274 37.60656 231.495530
## 180 1642.67 Dec 70-249,99 1402.336 37.60656 240.334181
## 181 1453.84 Jan 10-29,99 1167.756 36.64060 286.083974
## 182 1401.28 Jan 30-40,99 1143.193 36.64060 258.086895
## 183 1445.11 Jan 41-54,99 1159.304 36.64060 285.806277
## 184 1342.27 Jan 55-69,99 1166.595 36.64060 175.675434
## 185 1652.93 Jan 70-249,99 1347.656 36.64060 305.274086
## 186 1346.96 Feb 10-29,99 1175.696 36.64060 171.263707
## 187 1330.72 Feb 30-40,99 1151.133 36.64060 179.586628
## 188 1393.97 Feb 41-54,99 1167.244 36.64060 226.726010
## 189 1377.67 Feb 55-69,99 1174.535 36.64060 203.135168
## 190 1600.32 Feb 70-249,99 1355.596 36.64060 244.723819
## 191 1378.64 Mar 10-29,99 1200.768 36.64060 177.871974
## 192 1362.93 Mar 30-40,99 1176.205 36.64060 186.724895
## 193 1388.05 Mar 41-54,99 1192.316 36.64060 195.734277
## 194 1346.14 Mar 55-69,99 1199.607 36.64060 146.533434
## 195 1485.21 Mar 70-249,99 1380.668 36.64060 104.542086
## 196 1268.78 Apr 10-29,99 1193.430 36.64060 75.350374
## 197 1323.55 Apr 30-40,99 1168.867 36.64060 154.683295
## 198 1435.86 Apr 41-54,99 1184.977 36.64060 250.882677
## 199 1350.57 Apr 55-69,99 1192.268 36.64060 158.301834
## 200 1497.40 Apr 70-249,99 1373.330 36.64060 124.070486
## 201 1418.86 May 10-29,99 1188.790 36.64060 230.070240
## 202 1332.50 May 30-40,99 1164.227 36.64060 168.273162
## 203 1391.71 May 41-54,99 1180.337 36.64060 211.372544
## 204 1319.36 May 55-69,99 1187.628 36.64060 131.731701
## 205 1557.04 May 70-249,99 1368.690 36.64060 188.350353
## 206 1543.10 Jun 10-29,99 1193.928 36.64060 349.171707
## 207 1283.34 Jun 30-40,99 1169.365 36.64060 113.974628
## 208 1325.53 Jun 41-54,99 1185.476 36.64060 140.054010
## 209 1194.89 Jun 55-69,99 1192.767 36.64060 2.123168
## 210 1327.76 Jun 70-249,99 1373.828 36.64060 -46.068181
## 211 1280.56 Jul 10-29,99 1175.566 36.64060 104.993840
## 212 1288.96 Jul 30-40,99 1151.003 36.64060 137.956762
## 213 1258.43 Jul 41-54,99 1167.114 36.64060 91.316144
## 214 1276.73 Jul 55-69,99 1174.405 36.64060 102.325301
## 215 1263.26 Jul 70-249,99 1355.466 36.64060 -92.206047
## 216 1238.77 Aug 10-29,99 1221.775 36.64060 16.995040
## 217 1282.66 Aug 30-40,99 1197.212 36.64060 85.447962
## 218 1224.98 Aug 41-54,99 1213.323 36.64060 11.657344
## 219 1283.03 Aug 55-69,99 1220.613 36.64060 62.416501
## 220 1315.78 Aug 70-249,99 1401.675 36.64060 -85.894847
## 221 1283.79 Sep 10-29,99 1224.801 36.64060 58.988907
## 222 1301.62 Sep 30-40,99 1200.238 36.64060 101.381828
## 223 1288.58 Sep 41-54,99 1216.349 36.64060 72.231210
## 224 1204.33 Sep 55-69,99 1223.640 36.64060 -19.309632
## 225 1327.53 Sep 70-249,99 1404.701 36.64060 -77.170981
## 226 1408.50 Oct 10-29,99 1215.179 36.64060 193.321440
## 227 1212.79 Oct 30-40,99 1190.616 36.64060 22.174362
## 228 1188.18 Oct 41-54,99 1206.726 36.64060 -18.546256
## 229 1220.26 Oct 55-69,99 1214.017 36.64060 6.242901
## 230 1250.06 Oct 70-249,99 1395.078 36.64060 -145.018447
## 231 866.67 Nov 10-29,99 1197.360 37.60656 -330.689645
## 232 1131.71 Nov 30-40,99 1172.797 37.60656 -41.086724
## 233 1101.69 Nov 41-54,99 1188.907 37.60656 -87.217342
## 234 1216.64 Nov 55-69,99 1196.198 37.60656 20.441815
## 235 1270.81 Nov 70-249,99 1377.260 37.60656 -106.449533
## 236 1063.52 Dec 10-29,99 1222.436 37.60656 -158.915931
## 237 1220.73 Dec 30-40,99 1197.873 37.60656 22.856990
## 238 1150.65 Dec 41-54,99 1213.984 37.60656 -63.333628
## 239 1172.62 Dec 55-69,99 1221.274 37.60656 -48.654470
## 240 1195.94 Dec 70-249,99 1402.336 37.60656 -206.395819
## 241 913.95 Jan 10-29,99 1167.756 36.64060 -253.806026
## 242 919.95 Jan 30-40,99 1143.193 36.64060 -223.243105
## 243 1027.20 Jan 41-54,99 1159.304 36.64060 -132.103723
## 244 898.14 Jan 55-69,99 1166.595 36.64060 -268.454566
## 245 1062.82 Jan 70-249,99 1347.656 36.64060 -284.835914
## 246 917.48 Feb 10-29,99 1175.696 36.64060 -258.216293
## 247 886.91 Feb 30-40,99 1151.133 36.64060 -264.223372
## 248 995.55 Feb 41-54,99 1167.244 36.64060 -171.693990
## 249 1002.57 Feb 55-69,99 1174.535 36.64060 -171.964832
## 250 1122.07 Feb 70-249,99 1355.596 36.64060 -233.526181
## 251 766.37 Mar 10-29,99 1200.768 36.64060 -434.398026
## 252 886.54 Mar 30-40,99 1176.205 36.64060 -289.665105
## 253 868.54 Mar 41-54,99 1192.316 36.64060 -323.775723
## 254 913.26 Mar 55-69,99 1199.607 36.64060 -286.346566
## 255 1152.92 Mar 70-249,99 1380.668 36.64060 -227.747914
## 256 710.28 Apr 10-29,99 1193.430 36.64060 -483.149626
## 257 788.50 Apr 30-40,99 1168.867 36.64060 -380.366705
## 258 874.36 Apr 41-54,99 1184.977 36.64060 -310.617323
## 259 892.64 Apr 55-69,99 1192.268 36.64060 -299.628166
## 260 971.65 Apr 70-249,99 1373.330 36.64060 -401.679514
## 261 992.21 May 10-29,99 1188.790 36.64060 -196.579760
## 262 734.66 May 30-40,99 1164.227 36.64060 -429.566838
## 263 867.85 May 41-54,99 1180.337 36.64060 -312.487456
## 264 923.91 May 55-69,99 1187.628 36.64060 -263.718299
## 265 1051.09 May 70-249,99 1368.690 36.64060 -317.599647
## 266 760.82 Jun 10-29,99 1193.928 36.64060 -433.108293
## 267 729.63 Jun 30-40,99 1169.365 36.64060 -439.735372
## 268 822.23 Jun 41-54,99 1185.476 36.64060 -363.245990
## 269 815.91 Jun 55-69,99 1192.767 36.64060 -376.856832
## 270 917.46 Jun 70-249,99 1373.828 36.64060 -456.368181
## 271 421.50 Jul 10-29,99 1175.566 36.64060 -754.066160
## 272 668.36 Jul 30-40,99 1151.003 36.64060 -482.643238
## 273 686.42 Jul 41-54,99 1167.114 36.64060 -480.693856
## 274 758.19 Jul 55-69,99 1174.405 36.64060 -416.214699
## 275 968.41 Jul 70-249,99 1355.466 36.64060 -387.056047
## 276 667.93 Aug 10-29,99 1221.775 36.64060 -553.844960
## 277 832.94 Aug 30-40,99 1197.212 36.64060 -364.272038
## 278 648.44 Aug 41-54,99 1213.323 36.64060 -564.882656
## 279 780.74 Aug 55-69,99 1220.613 36.64060 -439.873499
## 280 982.33 Aug 70-249,99 1401.675 36.64060 -419.344847
## 281 601.43 Sep 10-29,99 1224.801 36.64060 -623.371093
## 282 650.41 Sep 30-40,99 1200.238 36.64060 -549.828172
## 283 749.59 Sep 41-54,99 1216.349 36.64060 -466.758790
## 284 749.51 Sep 55-69,99 1223.640 36.64060 -474.129632
## 285 939.80 Sep 70-249,99 1404.701 36.64060 -464.900981
## 286 717.81 Oct 10-29,99 1215.179 36.64060 -497.368560
## 287 714.72 Oct 30-40,99 1190.616 36.64060 -475.895638
## 288 788.24 Oct 41-54,99 1206.726 36.64060 -418.486256
## 289 819.65 Oct 55-69,99 1214.017 36.64060 -394.367099
## 290 941.40 Oct 70-249,99 1395.078 36.64060 -453.678447
## 291 701.59 Nov 10-29,99 1197.360 37.60656 -495.769645
## 292 699.03 Nov 30-40,99 1172.797 37.60656 -473.766724
## 293 763.19 Nov 41-54,99 1188.907 37.60656 -425.717342
## 294 755.56 Nov 55-69,99 1196.198 37.60656 -440.638185
## 295 932.06 Nov 70-249,99 1377.260 37.60656 -445.199533
## 296 684.34 Dec 10-29,99 1222.436 37.60656 -538.095931
## 297 722.66 Dec 30-40,99 1197.873 37.60656 -475.213010
## 298 753.37 Dec 41-54,99 1213.984 37.60656 -460.613628
## 299 845.00 Dec 55-69,99 1221.274 37.60656 -376.274470
## 300 929.47 Dec 70-249,99 1402.336 37.60656 -472.865819
## 301 624.67 Jan 10-29,99 1167.756 36.64060 -543.086026
## 302 741.36 Jan 30-40,99 1143.193 36.64060 -401.833105
## 303 854.16 Jan 41-54,99 1159.304 36.64060 -305.143723
## 304 779.10 Jan 55-69,99 1166.595 36.64060 -387.494566
## 305 909.10 Jan 70-249,99 1347.656 36.64060 -438.555914
## 306 678.04 Feb 10-29,99 1175.696 36.64060 -497.656293
## 307 755.09 Feb 30-40,99 1151.133 36.64060 -396.043372
## 308 775.72 Feb 41-54,99 1167.244 36.64060 -391.523990
## 309 905.29 Feb 55-69,99 1174.535 36.64060 -269.244832
## 310 1068.28 Feb 70-249,99 1355.596 36.64060 -287.316181
## 311 741.26 Mar 10-29,99 1200.768 36.64060 -459.508026
## 312 772.50 Mar 30-40,99 1176.205 36.64060 -403.705105
## 313 780.82 Mar 41-54,99 1192.316 36.64060 -411.495723
## 314 845.16 Mar 55-69,99 1199.607 36.64060 -354.446566
## 315 1020.72 Mar 70-249,99 1380.668 36.64060 -359.947914
## 316 657.57 Apr 10-29,99 1193.430 36.64060 -535.859626
## 317 624.88 Apr 30-40,99 1168.867 36.64060 -543.986705
## 318 870.96 Apr 41-54,99 1184.977 36.64060 -314.017323
## 319 762.75 Apr 55-69,99 1192.268 36.64060 -429.518166
## 320 1019.62 Apr 70-249,99 1373.330 36.64060 -353.709514
## 321 661.11 May 10-29,99 1188.790 36.64060 -527.679760
## 322 674.05 May 30-40,99 1164.227 36.64060 -490.176838
## 323 847.43 May 41-54,99 1180.337 36.64060 -332.907456
## 324 815.04 May 55-69,99 1187.628 36.64060 -372.588299
## 325 1049.73 May 70-249,99 1368.690 36.64060 -318.959647
## 326 634.87 Jun 10-29,99 1193.928 36.64060 -559.058293
## 327 789.67 Jun 30-40,99 1169.365 36.64060 -379.695372
## 328 844.73 Jun 41-54,99 1185.476 36.64060 -340.745990
## 329 906.12 Jun 55-69,99 1192.767 36.64060 -286.646832
## 330 1046.84 Jun 70-249,99 1373.828 36.64060 -326.988181
## 331 713.88 Jul 10-29,99 1175.566 36.64060 -461.686160
## 332 770.10 Jul 30-40,99 1151.003 36.64060 -380.903238
## 333 839.88 Jul 41-54,99 1167.114 36.64060 -327.233856
## 334 784.02 Jul 55-69,99 1174.405 36.64060 -390.384699
## 335 875.00 Jul 70-249,99 1355.466 36.64060 -480.466047
## 336 714.16 Aug 10-29,99 1221.775 36.64060 -507.614960
## 337 822.35 Aug 30-40,99 1197.212 36.64060 -374.862038
## 338 834.94 Aug 41-54,99 1213.323 36.64060 -378.382656
## 339 902.88 Aug 55-69,99 1220.613 36.64060 -317.733499
## 340 990.12 Aug 70-249,99 1401.675 36.64060 -411.554847
## 341 707.79 Sep 10-29,99 1224.801 36.64060 -517.011093
## 342 811.04 Sep 30-40,99 1200.238 36.64060 -389.198172
## 343 880.42 Sep 41-54,99 1216.349 36.64060 -335.928790
## 344 857.36 Sep 55-69,99 1223.640 36.64060 -366.279632
## 345 975.24 Sep 70-249,99 1404.701 36.64060 -429.460981
## 346 760.46 Oct 10-29,99 1215.179 36.64060 -454.718560
## 347 826.43 Oct 30-40,99 1190.616 36.64060 -364.185638
## 348 891.13 Oct 41-54,99 1206.726 36.64060 -315.596256
## 349 962.38 Oct 55-69,99 1214.017 36.64060 -251.637099
## 350 1101.88 Oct 70-249,99 1395.078 36.64060 -293.198447
## 351 818.68 Nov 10-29,99 1197.360 37.60656 -378.679645
## 352 796.78 Nov 30-40,99 1172.797 37.60656 -376.016724
## 353 855.83 Nov 41-54,99 1188.907 37.60656 -333.077342
## 354 929.67 Nov 55-69,99 1196.198 37.60656 -266.528185
## 355 1071.46 Nov 70-249,99 1377.260 37.60656 -305.799533
## 356 770.60 Dec 10-29,99 1222.436 37.60656 -451.835931
## 357 810.45 Dec 30-40,99 1197.873 37.60656 -387.423010
## 358 806.55 Dec 41-54,99 1213.984 37.60656 -407.433628
## 359 844.11 Dec 55-69,99 1221.274 37.60656 -377.164470
## 360 1102.16 Dec 70-249,99 1402.336 37.60656 -300.175819
## 361 717.46 Jan 10-29,99 1167.756 36.64060 -450.296026
## 362 901.44 Jan 30-40,99 1143.193 36.64060 -241.753105
## 363 912.60 Jan 41-54,99 1159.304 36.64060 -246.703723
## 364 927.47 Jan 55-69,99 1166.595 36.64060 -239.124566
## 365 989.69 Jan 70-249,99 1347.656 36.64060 -357.965914
## 366 679.74 Feb 10-29,99 1175.696 36.64060 -495.956293
## 367 807.79 Feb 30-40,99 1151.133 36.64060 -343.343372
## 368 825.31 Feb 41-54,99 1167.244 36.64060 -341.933990
## 369 882.69 Feb 55-69,99 1174.535 36.64060 -291.844832
## 370 1038.80 Feb 70-249,99 1355.596 36.64060 -316.796181
## 371 785.24 Mar 10-29,99 1200.768 36.64060 -415.528026
## 372 781.12 Mar 30-40,99 1176.205 36.64060 -395.085105
## 373 802.12 Mar 41-54,99 1192.316 36.64060 -390.195723
## 374 934.93 Mar 55-69,99 1199.607 36.64060 -264.676566
## 375 1090.98 Mar 70-249,99 1380.668 36.64060 -289.687914
## 376 777.57 Apr 10-29,99 1193.430 36.64060 -415.859626
## 377 839.55 Apr 30-40,99 1168.867 36.64060 -329.316705
## 378 988.40 Apr 41-54,99 1184.977 36.64060 -196.577323
## 379 906.95 Apr 55-69,99 1192.268 36.64060 -285.318166
## 380 1248.86 Apr 70-249,99 1373.330 36.64060 -124.469514
## 381 767.64 May 10-29,99 1188.790 36.64060 -421.149760
## 382 874.72 May 30-40,99 1164.227 36.64060 -289.506838
## 383 873.13 May 41-54,99 1180.337 36.64060 -307.207456
## 384 980.12 May 55-69,99 1187.628 36.64060 -207.508299
## 385 1209.80 May 70-249,99 1368.690 36.64060 -158.889647
## 386 791.80 Jun 10-29,99 1193.928 36.64060 -402.128293
## 387 802.98 Jun 30-40,99 1169.365 36.64060 -366.385372
## 388 903.54 Jun 41-54,99 1185.476 36.64060 -281.935990
## 389 1120.75 Jun 55-69,99 1192.767 36.64060 -72.016832
## 390 1116.30 Jun 70-249,99 1373.828 36.64060 -257.528181
## 391 800.50 Jul 10-29,99 1175.566 36.64060 -375.066160
## 392 896.06 Jul 30-40,99 1151.003 36.64060 -254.943238
## 393 890.69 Jul 41-54,99 1167.114 36.64060 -276.423856
## 394 970.52 Jul 55-69,99 1174.405 36.64060 -203.884699
## 395 1184.10 Jul 70-249,99 1355.466 36.64060 -171.366047
## 396 920.99 Aug 10-29,99 1221.775 36.64060 -300.784960
## 397 869.90 Aug 30-40,99 1197.212 36.64060 -327.312038
## 398 943.02 Aug 41-54,99 1213.323 36.64060 -270.302656
## 399 1032.10 Aug 55-69,99 1220.613 36.64060 -188.513499
## 400 1150.77 Aug 70-249,99 1401.675 36.64060 -250.904847
## 401 844.74 Sep 10-29,99 1224.801 36.64060 -380.061093
## 402 956.66 Sep 30-40,99 1200.238 36.64060 -243.578172
## 403 957.54 Sep 41-54,99 1216.349 36.64060 -258.808790
## 404 994.28 Sep 55-69,99 1223.640 36.64060 -229.359632
## 405 1307.01 Sep 70-249,99 1404.701 36.64060 -97.690981
## 406 761.61 Oct 10-29,99 1215.179 36.64060 -453.568560
## 407 899.31 Oct 30-40,99 1190.616 36.64060 -291.305638
## 408 947.46 Oct 41-54,99 1206.726 36.64060 -259.266256
## 409 1079.77 Oct 55-69,99 1214.017 36.64060 -134.247099
## 410 1313.06 Oct 70-249,99 1395.078 36.64060 -82.018447
## 411 908.95 Nov 10-29,99 1197.360 37.60656 -288.409645
## 412 876.36 Nov 30-40,99 1172.797 37.60656 -296.436724
## 413 970.02 Nov 41-54,99 1188.907 37.60656 -218.887342
## 414 1013.19 Nov 55-69,99 1196.198 37.60656 -183.008185
## 415 1212.90 Nov 70-249,99 1377.260 37.60656 -164.359533
## 416 881.61 Dec 10-29,99 1222.436 37.60656 -340.825931
## 417 918.55 Dec 30-40,99 1197.873 37.60656 -279.323010
## 418 978.44 Dec 41-54,99 1213.984 37.60656 -235.543628
## 419 983.89 Dec 55-69,99 1221.274 37.60656 -237.384470
## 420 1224.60 Dec 70-249,99 1402.336 37.60656 -177.735819
## 421 898.48 Jan 10-29,99 1167.756 36.64060 -269.276026
## 422 904.34 Jan 30-40,99 1143.193 36.64060 -238.853105
## 423 954.44 Jan 41-54,99 1159.304 36.64060 -204.863723
## 424 981.13 Jan 55-69,99 1166.595 36.64060 -185.464566
## 425 1193.20 Jan 70-249,99 1347.656 36.64060 -154.455914
## 426 895.94 Feb 10-29,99 1175.696 36.64060 -279.756293
## 427 867.65 Feb 30-40,99 1151.133 36.64060 -283.483372
## 428 974.18 Feb 41-54,99 1167.244 36.64060 -193.063990
## 429 985.28 Feb 55-69,99 1174.535 36.64060 -189.254832
## 430 1232.54 Feb 70-249,99 1355.596 36.64060 -123.056181
## 431 1062.19 Mar 10-29,99 1200.768 36.64060 -138.578026
## 432 920.21 Mar 30-40,99 1176.205 36.64060 -255.995105
## 433 1025.86 Mar 41-54,99 1192.316 36.64060 -166.455723
## 434 937.26 Mar 55-69,99 1199.607 36.64060 -262.346566
## 435 1274.82 Mar 70-249,99 1380.668 36.64060 -105.847914
## 436 1075.14 Apr 10-29,99 1193.430 36.64060 -118.289626
## 437 883.52 Apr 30-40,99 1168.867 36.64060 -285.346705
## 438 926.27 Apr 41-54,99 1184.977 36.64060 -258.707323
## 439 1038.40 Apr 55-69,99 1192.268 36.64060 -153.868166
## 440 1228.88 Apr 70-249,99 1373.330 36.64060 -144.449514
## 441 850.07 May 10-29,99 1188.790 36.64060 -338.719760
## 442 891.59 May 30-40,99 1164.227 36.64060 -272.636838
## 443 1022.89 May 41-54,99 1180.337 36.64060 -157.447456
## 444 1049.31 May 55-69,99 1187.628 36.64060 -138.318299
## 445 1302.33 May 70-249,99 1368.690 36.64060 -66.359647
## 446 866.50 Jun 10-29,99 1193.928 36.64060 -327.428293
## 447 937.71 Jun 30-40,99 1169.365 36.64060 -231.655372
## 448 977.77 Jun 41-54,99 1185.476 36.64060 -207.705990
## 449 1084.44 Jun 55-69,99 1192.767 36.64060 -108.326832
## 450 1235.95 Jun 70-249,99 1373.828 36.64060 -137.878181
## 451 820.32 Jul 10-29,99 1175.566 36.64060 -355.246160
## 452 965.60 Jul 30-40,99 1151.003 36.64060 -185.403238
## 453 970.61 Jul 41-54,99 1167.114 36.64060 -196.503856
## 454 1125.23 Jul 55-69,99 1174.405 36.64060 -49.174699
## 455 1140.12 Jul 70-249,99 1355.466 36.64060 -215.346047
## 456 1022.42 Aug 10-29,99 1221.775 36.64060 -199.354960
## 457 943.03 Aug 30-40,99 1197.212 36.64060 -254.182038
## 458 1023.66 Aug 41-54,99 1213.323 36.64060 -189.662656
## 459 1030.78 Aug 55-69,99 1220.613 36.64060 -189.833499
## 460 1155.45 Aug 70-249,99 1401.675 36.64060 -246.224847
## 461 956.58 Sep 10-29,99 1224.801 36.64060 -268.221093
## 462 977.29 Sep 30-40,99 1200.238 36.64060 -222.948172
## 463 1031.34 Sep 41-54,99 1216.349 36.64060 -185.008790
## 464 1035.55 Sep 55-69,99 1223.640 36.64060 -188.089632
## 465 1266.73 Sep 70-249,99 1404.701 36.64060 -137.970981
## 466 847.64 Oct 10-29,99 1215.179 36.64060 -367.538560
## 467 920.65 Oct 30-40,99 1190.616 36.64060 -269.965638
## 468 1013.75 Oct 41-54,99 1206.726 36.64060 -192.976256
## 469 1009.03 Oct 55-69,99 1214.017 36.64060 -204.987099
## 470 1296.12 Oct 70-249,99 1395.078 36.64060 -98.958447
## 471 897.86 Nov 10-29,99 1197.360 37.60656 -299.499645
## 472 949.61 Nov 30-40,99 1172.797 37.60656 -223.186724
## 473 1013.46 Nov 41-54,99 1188.907 37.60656 -175.447342
## 474 1110.41 Nov 55-69,99 1196.198 37.60656 -85.788185
## 475 1326.04 Nov 70-249,99 1377.260 37.60656 -51.219533
## 476 847.15 Dec 10-29,99 1222.436 37.60656 -375.285931
## 477 1078.52 Dec 30-40,99 1197.873 37.60656 -119.353010
## 478 1031.72 Dec 41-54,99 1213.984 37.60656 -182.263628
## 479 1031.23 Dec 55-69,99 1221.274 37.60656 -190.044470
## 480 1235.56 Dec 70-249,99 1402.336 37.60656 -166.775819
## 481 1008.59 Jan 10-29,99 1167.756 36.64060 -159.166026
## 482 1023.05 Jan 30-40,99 1143.193 36.64060 -120.143105
## 483 997.68 Jan 41-54,99 1159.304 36.64060 -161.623723
## 484 1060.11 Jan 55-69,99 1166.595 36.64060 -106.484566
## 485 1210.45 Jan 70-249,99 1347.656 36.64060 -137.205914
## 486 999.61 Feb 10-29,99 1175.696 36.64060 -176.086293
## 487 1038.97 Feb 30-40,99 1151.133 36.64060 -112.163372
## 488 1045.73 Feb 41-54,99 1167.244 36.64060 -121.513990
## 489 1105.96 Feb 55-69,99 1174.535 36.64060 -68.574832
## 490 1271.05 Feb 70-249,99 1355.596 36.64060 -84.546181
## 491 905.54 Mar 10-29,99 1200.768 36.64060 -295.228026
## 492 1090.98 Mar 30-40,99 1176.205 36.64060 -85.225105
## 493 1086.46 Mar 41-54,99 1192.316 36.64060 -105.855723
## 494 1104.33 Mar 55-69,99 1199.607 36.64060 -95.276566
## 495 1308.03 Mar 70-249,99 1380.668 36.64060 -72.637914
## 496 1042.28 Apr 10-29,99 1193.430 36.64060 -151.149626
## 497 1022.76 Apr 30-40,99 1168.867 36.64060 -146.106705
## 498 1133.71 Apr 41-54,99 1184.977 36.64060 -51.267323
## 499 1078.11 Apr 55-69,99 1192.268 36.64060 -114.158166
## 500 1341.80 Apr 70-249,99 1373.330 36.64060 -31.529514
## 501 1100.88 May 10-29,99 1188.790 36.64060 -87.909760
## 502 1101.87 May 30-40,99 1164.227 36.64060 -62.356838
## 503 1142.50 May 41-54,99 1180.337 36.64060 -37.837456
## 504 1122.97 May 55-69,99 1187.628 36.64060 -64.658299
## 505 1389.75 May 70-249,99 1368.690 36.64060 21.060353
## 506 925.96 Jun 10-29,99 1193.928 36.64060 -267.968293
## 507 1089.36 Jun 30-40,99 1169.365 36.64060 -80.005372
## 508 1094.18 Jun 41-54,99 1185.476 36.64060 -91.295990
## 509 1128.67 Jun 55-69,99 1192.767 36.64060 -64.096832
## 510 1305.04 Jun 70-249,99 1373.828 36.64060 -68.788181
## 511 1137.90 Jul 10-29,99 1175.566 36.64060 -37.666160
## 512 1078.79 Jul 30-40,99 1151.003 36.64060 -72.213238
## 513 1097.00 Jul 41-54,99 1167.114 36.64060 -70.113856
## 514 1137.60 Jul 55-69,99 1174.405 36.64060 -36.804699
## 515 1521.09 Jul 70-249,99 1355.466 36.64060 165.623953
## 516 1167.87 Aug 10-29,99 1221.775 36.64060 -53.904960
## 517 1114.02 Aug 30-40,99 1197.212 36.64060 -83.192038
## 518 1068.97 Aug 41-54,99 1213.323 36.64060 -144.352656
## 519 1067.59 Aug 55-69,99 1220.613 36.64060 -153.023499
## 520 1369.31 Aug 70-249,99 1401.675 36.64060 -32.364847
## 521 1011.60 Sep 10-29,99 1224.801 36.64060 -213.201093
## 522 1117.65 Sep 30-40,99 1200.238 36.64060 -82.588172
## 523 1133.12 Sep 41-54,99 1216.349 36.64060 -83.228790
## 524 1208.05 Sep 55-69,99 1223.640 36.64060 -15.589632
## 525 1413.60 Sep 70-249,99 1404.701 36.64060 8.899019
## 526 1172.97 Oct 10-29,99 1215.179 36.64060 -42.208560
## 527 1131.55 Oct 30-40,99 1190.616 36.64060 -59.065638
## 528 1222.53 Oct 41-54,99 1206.726 36.64060 15.803744
## 529 1201.73 Oct 55-69,99 1214.017 36.64060 -12.287099
## 530 1475.45 Oct 70-249,99 1395.078 36.64060 80.371553
## 531 1031.60 Nov 10-29,99 1197.360 37.60656 -165.759645
## 532 1243.71 Nov 30-40,99 1172.797 37.60656 70.913276
## 533 1178.31 Nov 41-54,99 1188.907 37.60656 -10.597342
## 534 1186.06 Nov 55-69,99 1196.198 37.60656 -10.138185
## 535 1435.29 Nov 70-249,99 1377.260 37.60656 58.030467
## 536 1138.43 Dec 10-29,99 1222.436 37.60656 -84.005931
## 537 1172.83 Dec 30-40,99 1197.873 37.60656 -25.043010
## 538 1262.95 Dec 41-54,99 1213.984 37.60656 48.966372
## 539 1143.79 Dec 55-69,99 1221.274 37.60656 -77.484470
## 540 1528.58 Dec 70-249,99 1402.336 37.60656 126.244181
## 541 1283.48 Jan 10-29,99 1167.756 36.64060 115.723974
## 542 1165.43 Jan 30-40,99 1143.193 36.64060 22.236895
## 543 1204.64 Jan 41-54,99 1159.304 36.64060 45.336277
## 544 1239.75 Jan 55-69,99 1166.595 36.64060 73.155434
## 545 1395.83 Jan 70-249,99 1347.656 36.64060 48.174086
## 546 1271.19 Feb 10-29,99 1175.696 36.64060 95.493707
## 547 1265.08 Feb 30-40,99 1151.133 36.64060 113.946628
## 548 1161.76 Feb 41-54,99 1167.244 36.64060 -5.483990
## 549 1243.20 Feb 55-69,99 1174.535 36.64060 68.665168
## 550 1417.02 Feb 70-249,99 1355.596 36.64060 61.423819
## 551 1287.17 Mar 10-29,99 1200.768 36.64060 86.401974
## 552 1283.76 Mar 30-40,99 1176.205 36.64060 107.554895
## 553 1342.14 Mar 41-54,99 1192.316 36.64060 149.824277
## 554 1369.90 Mar 55-69,99 1199.607 36.64060 170.293434
## 555 1527.71 Mar 70-249,99 1380.668 36.64060 147.042086
## 556 1199.89 Apr 10-29,99 1193.430 36.64060 6.460374
## 557 1348.63 Apr 30-40,99 1168.867 36.64060 179.763295
## 558 1298.81 Apr 41-54,99 1184.977 36.64060 113.832677
## 559 1304.19 Apr 55-69,99 1192.268 36.64060 111.921834
## 560 1482.11 Apr 70-249,99 1373.330 36.64060 108.780486
## 561 1204.93 May 10-29,99 1188.790 36.64060 16.140240
## 562 1211.94 May 30-40,99 1164.227 36.64060 47.713162
## 563 1246.26 May 41-54,99 1180.337 36.64060 65.922544
## 564 1237.80 May 55-69,99 1187.628 36.64060 50.171701
## 565 1311.30 May 70-249,99 1368.690 36.64060 -57.389647
## 566 1332.93 Jun 10-29,99 1193.928 36.64060 139.001707
## 567 1238.00 Jun 30-40,99 1169.365 36.64060 68.634628
## 568 1214.91 Jun 41-54,99 1185.476 36.64060 29.434010
## 569 1285.98 Jun 55-69,99 1192.767 36.64060 93.213168
## 570 1466.16 Jun 70-249,99 1373.828 36.64060 92.331819
## 571 1152.35 Jul 10-29,99 1175.566 36.64060 -23.216160
## 572 1207.44 Jul 30-40,99 1151.003 36.64060 56.436762
## 573 1249.32 Jul 41-54,99 1167.114 36.64060 82.206144
## 574 1280.87 Jul 55-69,99 1174.405 36.64060 106.465301
## 575 1564.91 Jul 70-249,99 1355.466 36.64060 209.443953
## 576 1463.06 Aug 10-29,99 1221.775 36.64060 241.285040
## 577 1216.73 Aug 30-40,99 1197.212 36.64060 19.517962
## 578 1318.55 Aug 41-54,99 1213.323 36.64060 105.227344
## 579 1315.05 Aug 55-69,99 1220.613 36.64060 94.436501
## 580 1568.16 Aug 70-249,99 1401.675 36.64060 166.485153
## 581 1598.84 Sep 10-29,99 1224.801 36.64060 374.038907
## 582 1260.34 Sep 30-40,99 1200.238 36.64060 60.101828
## 583 1247.44 Sep 41-54,99 1216.349 36.64060 31.091210
## 584 1256.96 Sep 55-69,99 1223.640 36.64060 33.320368
## 585 1387.33 Sep 70-249,99 1404.701 36.64060 -17.370981
## 586 1452.06 Oct 10-29,99 1215.179 36.64060 236.881440
## 587 1230.47 Oct 30-40,99 1190.616 36.64060 39.854362
## 588 1263.48 Oct 41-54,99 1206.726 36.64060 56.753744
## 589 1290.19 Oct 55-69,99 1214.017 36.64060 76.172901
## 590 1467.54 Oct 70-249,99 1395.078 36.64060 72.461553
## 591 1358.26 Nov 10-29,99 1197.360 37.60656 160.900355
## 592 1251.99 Nov 30-40,99 1172.797 37.60656 79.193276
## 593 1268.70 Nov 41-54,99 1188.907 37.60656 79.792658
## 594 1349.28 Nov 55-69,99 1196.198 37.60656 153.081815
## 595 1652.05 Nov 70-249,99 1377.260 37.60656 274.790467
## 596 1278.41 Dec 10-29,99 1222.436 37.60656 55.974069
## 597 1261.54 Dec 30-40,99 1197.873 37.60656 63.666990
## 598 1339.42 Dec 41-54,99 1213.984 37.60656 125.436372
## 599 1375.54 Dec 55-69,99 1221.274 37.60656 154.265530
## 600 1702.42 Dec 70-249,99 1402.336 37.60656 300.084181
## 601 1283.48 Jan 10-29,99 1167.756 36.64060 115.723974
## 602 1165.43 Jan 30-40,99 1143.193 36.64060 22.236895
## 603 1204.64 Jan 41-54,99 1159.304 36.64060 45.336277
## 604 1239.75 Jan 55-69,99 1166.595 36.64060 73.155434
## 605 1395.83 Jan 70-249,99 1347.656 36.64060 48.174086
## 606 1271.19 Feb 10-29,99 1175.696 36.64060 95.493707
## 607 1265.08 Feb 30-40,99 1151.133 36.64060 113.946628
## 608 1161.76 Feb 41-54,99 1167.244 36.64060 -5.483990
## 609 1243.20 Feb 55-69,99 1174.535 36.64060 68.665168
## 610 1417.02 Feb 70-249,99 1355.596 36.64060 61.423819
## 611 1287.17 Mar 10-29,99 1200.768 36.64060 86.401974
## 612 1283.76 Mar 30-40,99 1176.205 36.64060 107.554895
## 613 1342.14 Mar 41-54,99 1192.316 36.64060 149.824277
## 614 1369.90 Mar 55-69,99 1199.607 36.64060 170.293434
## 615 1527.71 Mar 70-249,99 1380.668 36.64060 147.042086
## 616 1199.89 Apr 10-29,99 1193.430 36.64060 6.460374
## 617 1348.63 Apr 30-40,99 1168.867 36.64060 179.763295
## 618 1298.81 Apr 41-54,99 1184.977 36.64060 113.832677
## 619 1304.19 Apr 55-69,99 1192.268 36.64060 111.921834
## 620 1482.11 Apr 70-249,99 1373.330 36.64060 108.780486
## 621 1204.93 May 10-29,99 1188.790 36.64060 16.140240
## 622 1211.94 May 30-40,99 1164.227 36.64060 47.713162
## 623 1246.26 May 41-54,99 1180.337 36.64060 65.922544
## 624 1237.80 May 55-69,99 1187.628 36.64060 50.171701
## 625 1311.30 May 70-249,99 1368.690 36.64060 -57.389647
## 626 1332.93 Jun 10-29,99 1193.928 36.64060 139.001707
## 627 1238.00 Jun 30-40,99 1169.365 36.64060 68.634628
## 628 1214.91 Jun 41-54,99 1185.476 36.64060 29.434010
## 629 1285.98 Jun 55-69,99 1192.767 36.64060 93.213168
## 630 1466.16 Jun 70-249,99 1373.828 36.64060 92.331819
## 631 1152.35 Jul 10-29,99 1175.566 36.64060 -23.216160
## 632 1207.44 Jul 30-40,99 1151.003 36.64060 56.436762
## 633 1249.32 Jul 41-54,99 1167.114 36.64060 82.206144
## 634 1280.87 Jul 55-69,99 1174.405 36.64060 106.465301
## 635 1564.91 Jul 70-249,99 1355.466 36.64060 209.443953
## 636 1463.06 Aug 10-29,99 1221.775 36.64060 241.285040
## 637 1216.73 Aug 30-40,99 1197.212 36.64060 19.517962
## 638 1318.55 Aug 41-54,99 1213.323 36.64060 105.227344
## 639 1315.05 Aug 55-69,99 1220.613 36.64060 94.436501
## 640 1568.16 Aug 70-249,99 1401.675 36.64060 166.485153
## 641 1598.84 Sep 10-29,99 1224.801 36.64060 374.038907
## 642 1260.34 Sep 30-40,99 1200.238 36.64060 60.101828
## 643 1247.44 Sep 41-54,99 1216.349 36.64060 31.091210
## 644 1256.96 Sep 55-69,99 1223.640 36.64060 33.320368
## 645 1387.33 Sep 70-249,99 1404.701 36.64060 -17.370981
## 646 1452.06 Oct 10-29,99 1215.179 36.64060 236.881440
## 647 1230.47 Oct 30-40,99 1190.616 36.64060 39.854362
## 648 1263.48 Oct 41-54,99 1206.726 36.64060 56.753744
## 649 1290.19 Oct 55-69,99 1214.017 36.64060 76.172901
## 650 1467.54 Oct 70-249,99 1395.078 36.64060 72.461553
## 651 1358.26 Nov 10-29,99 1197.360 37.60656 160.900355
## 652 1251.99 Nov 30-40,99 1172.797 37.60656 79.193276
## 653 1268.70 Nov 41-54,99 1188.907 37.60656 79.792658
## 654 1349.28 Nov 55-69,99 1196.198 37.60656 153.081815
## 655 1652.05 Nov 70-249,99 1377.260 37.60656 274.790467
## 656 1278.41 Dec 10-29,99 1222.436 37.60656 55.974069
## 657 1261.54 Dec 30-40,99 1197.873 37.60656 63.666990
## 658 1339.42 Dec 41-54,99 1213.984 37.60656 125.436372
## 659 1375.54 Dec 55-69,99 1221.274 37.60656 154.265530
## 660 1702.42 Dec 70-249,99 1402.336 37.60656 300.084181
## 661 1380.10 Jan 10-29,99 1167.756 36.64060 212.343974
## 662 1313.50 Jan 30-40,99 1143.193 36.64060 170.306895
## 663 1360.42 Jan 41-54,99 1159.304 36.64060 201.116277
## 664 1469.65 Jan 55-69,99 1166.595 36.64060 303.055434
## 665 1674.56 Jan 70-249,99 1347.656 36.64060 326.904086
## 666 1274.37 Feb 10-29,99 1175.696 36.64060 98.673707
## 667 1301.64 Feb 30-40,99 1151.133 36.64060 150.506628
## 668 1312.10 Feb 41-54,99 1167.244 36.64060 144.856010
## 669 1403.56 Feb 55-69,99 1174.535 36.64060 229.025168
## 670 1652.88 Feb 70-249,99 1355.596 36.64060 297.283819
## 671 1440.66 Mar 10-29,99 1200.768 36.64060 239.891974
## 672 1476.75 Mar 30-40,99 1176.205 36.64060 300.544895
## 673 1340.98 Mar 41-54,99 1192.316 36.64060 148.664277
## 674 1417.90 Mar 55-69,99 1199.607 36.64060 218.293434
## 675 1657.29 Mar 70-249,99 1380.668 36.64060 276.622086
## 676 1364.48 Apr 10-29,99 1193.430 36.64060 171.050374
## 677 1360.09 Apr 30-40,99 1168.867 36.64060 191.223295
## 678 1359.43 Apr 41-54,99 1184.977 36.64060 174.452677
## 679 1425.11 Apr 55-69,99 1192.268 36.64060 232.841834
## 680 1670.73 Apr 70-249,99 1373.330 36.64060 297.400486
## 681 1323.60 May 10-29,99 1188.790 36.64060 134.810240
## 682 1300.17 May 30-40,99 1164.227 36.64060 135.943162
## 683 1403.83 May 41-54,99 1180.337 36.64060 223.492544
## 684 1399.41 May 55-69,99 1187.628 36.64060 211.781701
## 685 1740.04 May 70-249,99 1368.690 36.64060 371.350353
## 686 1391.10 Jun 10-29,99 1193.928 36.64060 197.171707
## 687 1361.92 Jun 30-40,99 1169.365 36.64060 192.554628
## 688 1355.70 Jun 41-54,99 1185.476 36.64060 170.224010
## 689 1351.28 Jun 55-69,99 1192.767 36.64060 158.513168
## 690 1633.67 Jun 70-249,99 1373.828 36.64060 259.841819
## 691 1345.56 Jul 10-29,99 1175.566 36.64060 169.993840
## 692 1380.03 Jul 30-40,99 1151.003 36.64060 229.026762
## 693 1369.42 Jul 41-54,99 1167.114 36.64060 202.306144
## 694 1368.29 Jul 55-69,99 1174.405 36.64060 193.885301
## 695 1543.89 Jul 70-249,99 1355.466 36.64060 188.423953
## 696 1576.31 Aug 10-29,99 1221.775 36.64060 354.535040
## 697 1377.68 Aug 30-40,99 1197.212 36.64060 180.467962
## 698 1362.71 Aug 41-54,99 1213.323 36.64060 149.387344
## 699 1375.85 Aug 55-69,99 1220.613 36.64060 155.236501
## 700 1614.32 Aug 70-249,99 1401.675 36.64060 212.645153
## 701 1583.49 Sep 10-29,99 1224.801 36.64060 358.688907
## 702 1371.30 Sep 30-40,99 1200.238 36.64060 171.061828
## 703 1407.56 Sep 41-54,99 1216.349 36.64060 191.211210
## 704 1380.88 Sep 55-69,99 1223.640 36.64060 157.240368
## 705 1564.27 Sep 70-249,99 1404.701 36.64060 159.569019
## 706 1394.42 Oct 10-29,99 1215.179 36.64060 179.241440
## 707 1354.74 Oct 30-40,99 1190.616 36.64060 164.124362
## 708 1398.72 Oct 41-54,99 1206.726 36.64060 191.993744
## 709 1400.20 Oct 55-69,99 1214.017 36.64060 186.182901
## 710 1593.38 Oct 70-249,99 1395.078 36.64060 198.301553
## 711 1349.73 Nov 10-29,99 1197.360 37.60656 152.370355
## 712 1293.03 Nov 30-40,99 1172.797 37.60656 120.233276
## 713 1391.93 Nov 41-54,99 1188.907 37.60656 203.022658
## 714 1393.22 Nov 55-69,99 1196.198 37.60656 197.021815
## 715 1634.14 Nov 70-249,99 1377.260 37.60656 256.880467
## 716 1396.65 Dec 10-29,99 1222.436 37.60656 174.214069
## 717 1353.08 Dec 30-40,99 1197.873 37.60656 155.206990
## 718 1389.35 Dec 41-54,99 1213.984 37.60656 175.366372
## 719 1475.72 Dec 55-69,99 1221.274 37.60656 254.445530
## 720 1648.83 Dec 70-249,99 1402.336 37.60656 246.494181
## 721 1380.10 Jan 10-29,99 1167.756 36.64060 212.343974
## 722 1313.50 Jan 30-40,99 1143.193 36.64060 170.306895
## 723 1360.42 Jan 41-54,99 1159.304 36.64060 201.116277
## 724 1469.65 Jan 55-69,99 1166.595 36.64060 303.055434
## 725 1674.56 Jan 70-249,99 1347.656 36.64060 326.904086
## 726 1274.37 Feb 10-29,99 1175.696 36.64060 98.673707
## 727 1301.64 Feb 30-40,99 1151.133 36.64060 150.506628
## 728 1312.10 Feb 41-54,99 1167.244 36.64060 144.856010
## 729 1403.56 Feb 55-69,99 1174.535 36.64060 229.025168
## 730 1652.88 Feb 70-249,99 1355.596 36.64060 297.283819
## 731 1440.66 Mar 10-29,99 1200.768 36.64060 239.891974
## 732 1476.75 Mar 30-40,99 1176.205 36.64060 300.544895
## 733 1340.98 Mar 41-54,99 1192.316 36.64060 148.664277
## 734 1417.90 Mar 55-69,99 1199.607 36.64060 218.293434
## 735 1657.29 Mar 70-249,99 1380.668 36.64060 276.622086
## 736 1364.48 Apr 10-29,99 1193.430 36.64060 171.050374
## 737 1360.09 Apr 30-40,99 1168.867 36.64060 191.223295
## 738 1359.43 Apr 41-54,99 1184.977 36.64060 174.452677
## 739 1425.11 Apr 55-69,99 1192.268 36.64060 232.841834
## 740 1670.73 Apr 70-249,99 1373.330 36.64060 297.400486
## 741 1323.60 May 10-29,99 1188.790 36.64060 134.810240
## 742 1300.17 May 30-40,99 1164.227 36.64060 135.943162
## 743 1403.83 May 41-54,99 1180.337 36.64060 223.492544
## 744 1399.41 May 55-69,99 1187.628 36.64060 211.781701
## 745 1740.04 May 70-249,99 1368.690 36.64060 371.350353
## 746 1391.10 Jun 10-29,99 1193.928 36.64060 197.171707
## 747 1361.92 Jun 30-40,99 1169.365 36.64060 192.554628
## 748 1355.70 Jun 41-54,99 1185.476 36.64060 170.224010
## 749 1351.28 Jun 55-69,99 1192.767 36.64060 158.513168
## 750 1633.67 Jun 70-249,99 1373.828 36.64060 259.841819
## 751 1345.56 Jul 10-29,99 1175.566 36.64060 169.993840
## 752 1380.03 Jul 30-40,99 1151.003 36.64060 229.026762
## 753 1369.42 Jul 41-54,99 1167.114 36.64060 202.306144
## 754 1368.29 Jul 55-69,99 1174.405 36.64060 193.885301
## 755 1543.89 Jul 70-249,99 1355.466 36.64060 188.423953
## 756 1576.31 Aug 10-29,99 1221.775 36.64060 354.535040
## 757 1377.68 Aug 30-40,99 1197.212 36.64060 180.467962
## 758 1362.71 Aug 41-54,99 1213.323 36.64060 149.387344
## 759 1375.85 Aug 55-69,99 1220.613 36.64060 155.236501
## 760 1614.32 Aug 70-249,99 1401.675 36.64060 212.645153
## 761 1583.49 Sep 10-29,99 1224.801 36.64060 358.688907
## 762 1371.30 Sep 30-40,99 1200.238 36.64060 171.061828
## 763 1407.56 Sep 41-54,99 1216.349 36.64060 191.211210
## 764 1380.88 Sep 55-69,99 1223.640 36.64060 157.240368
## 765 1564.27 Sep 70-249,99 1404.701 36.64060 159.569019
## 766 1394.42 Oct 10-29,99 1215.179 36.64060 179.241440
## 767 1354.74 Oct 30-40,99 1190.616 36.64060 164.124362
## 768 1398.72 Oct 41-54,99 1206.726 36.64060 191.993744
## 769 1400.20 Oct 55-69,99 1214.017 36.64060 186.182901
## 770 1593.38 Oct 70-249,99 1395.078 36.64060 198.301553
## 771 1349.73 Nov 10-29,99 1197.360 37.60656 152.370355
## 772 1293.03 Nov 30-40,99 1172.797 37.60656 120.233276
## 773 1391.93 Nov 41-54,99 1188.907 37.60656 203.022658
## 774 1393.22 Nov 55-69,99 1196.198 37.60656 197.021815
## 775 1634.14 Nov 70-249,99 1377.260 37.60656 256.880467
## 776 1396.65 Dec 10-29,99 1222.436 37.60656 174.214069
## 777 1353.08 Dec 30-40,99 1197.873 37.60656 155.206990
## 778 1389.35 Dec 41-54,99 1213.984 37.60656 175.366372
## 779 1475.72 Dec 55-69,99 1221.274 37.60656 254.445530
## 780 1648.83 Dec 70-249,99 1402.336 37.60656 246.494181
## 781 1416.26 Jan 10-29,99 1167.756 36.64060 248.503974
## 782 1320.92 Jan 30-40,99 1143.193 36.64060 177.726895
## 783 1377.26 Jan 41-54,99 1159.304 36.64060 217.956277
## 784 1446.24 Jan 55-69,99 1166.595 36.64060 279.645434
## 785 1610.84 Jan 70-249,99 1347.656 36.64060 263.184086
## 786 1491.65 Feb 10-29,99 1175.696 36.64060 315.953707
## 787 1448.76 Feb 30-40,99 1151.133 36.64060 297.626628
## 788 1405.91 Feb 41-54,99 1167.244 36.64060 238.666010
## 789 1423.42 Feb 55-69,99 1174.535 36.64060 248.885168
## 790 1631.84 Feb 70-249,99 1355.596 36.64060 276.243819
## 791 1542.73 Mar 10-29,99 1200.768 36.64060 341.961974
## 792 1432.00 Mar 30-40,99 1176.205 36.64060 255.794895
## 793 1400.45 Mar 41-54,99 1192.316 36.64060 208.134277
## 794 1429.21 Mar 55-69,99 1199.607 36.64060 229.603434
## 795 1596.82 Mar 70-249,99 1380.668 36.64060 216.152086
## 796 1455.55 Apr 10-29,99 1193.430 36.64060 262.120374
## 797 1410.37 Apr 30-40,99 1168.867 36.64060 241.503295
## 798 1454.17 Apr 41-54,99 1184.977 36.64060 269.192677
## 799 1369.75 Apr 55-69,99 1192.268 36.64060 177.481834
## 800 1598.53 Apr 70-249,99 1373.330 36.64060 225.200486
## 801 1400.08 May 10-29,99 1188.790 36.64060 211.290240
## 802 1439.21 May 30-40,99 1164.227 36.64060 274.983162
## 803 1426.81 May 41-54,99 1180.337 36.64060 246.472544
## 804 1417.36 May 55-69,99 1187.628 36.64060 229.731701
## 805 1621.33 May 70-249,99 1368.690 36.64060 252.640353
## 806 1506.41 Jun 10-29,99 1193.928 36.64060 312.481707
## 807 1351.65 Jun 30-40,99 1169.365 36.64060 182.284628
## 808 1460.97 Jun 41-54,99 1185.476 36.64060 275.494010
## 809 1407.05 Jun 55-69,99 1192.767 36.64060 214.283168
## 810 1626.16 Jun 70-249,99 1373.828 36.64060 252.331819
## 811 1516.03 Jul 10-29,99 1175.566 36.64060 340.463840
## 812 1485.88 Jul 30-40,99 1151.003 36.64060 334.876762
## 813 1503.77 Jul 41-54,99 1167.114 36.64060 336.656144
## 814 1444.62 Jul 55-69,99 1174.405 36.64060 270.215301
## 815 1753.70 Jul 70-249,99 1355.466 36.64060 398.233953
## 816 1557.42 Aug 10-29,99 1221.775 36.64060 335.645040
## 817 1486.09 Aug 30-40,99 1197.212 36.64060 288.877962
## 818 1513.74 Aug 41-54,99 1213.323 36.64060 300.417344
## 819 1458.09 Aug 55-69,99 1220.613 36.64060 237.476501
## 820 1737.31 Aug 70-249,99 1401.675 36.64060 335.635153
## 821 1553.41 Sep 10-29,99 1224.801 36.64060 328.608907
## 822 1471.56 Sep 30-40,99 1200.238 36.64060 271.321828
## 823 1542.39 Sep 41-54,99 1216.349 36.64060 326.041210
## 824 1486.02 Sep 55-69,99 1223.640 36.64060 262.380368
## 825 1802.30 Sep 70-249,99 1404.701 36.64060 397.599019
## 826 1575.95 Oct 10-29,99 1215.179 36.64060 360.771440
## 827 1394.05 Oct 30-40,99 1190.616 36.64060 203.434362
## 828 1481.19 Oct 41-54,99 1206.726 36.64060 274.463744
## 829 1486.93 Oct 55-69,99 1214.017 36.64060 272.912901
## 830 1630.40 Oct 70-249,99 1395.078 36.64060 235.321553
## 831 1543.56 Nov 10-29,99 1197.360 37.60656 346.200355
## 832 1637.04 Nov 30-40,99 1172.797 37.60656 464.243276
## 833 1614.03 Nov 41-54,99 1188.907 37.60656 425.122658
## 834 1447.64 Nov 55-69,99 1196.198 37.60656 251.441815
## 835 1684.18 Nov 70-249,99 1377.260 37.60656 306.920467
## 836 1638.82 Dec 10-29,99 1222.436 37.60656 416.384069
## 837 1581.56 Dec 30-40,99 1197.873 37.60656 383.686990
## 838 1562.33 Dec 41-54,99 1213.984 37.60656 348.346372
## 839 1584.50 Dec 55-69,99 1221.274 37.60656 363.225530
## 840 1811.44 Dec 70-249,99 1402.336 37.60656 409.104181
## 841 1662.55 Jan 10-29,99 1167.756 36.64060 494.793974
## 842 1532.27 Jan 30-40,99 1143.193 36.64060 389.076895
## 843 1733.18 Jan 41-54,99 1159.304 36.64060 573.876277
## 844 1659.22 Jan 55-69,99 1166.595 36.64060 492.625434
## 845 1756.79 Jan 70-249,99 1347.656 36.64060 409.134086
## 846 1504.83 Feb 10-29,99 1175.696 36.64060 329.133707
## 847 1499.77 Feb 30-40,99 1151.133 36.64060 348.636628
## 848 1484.86 Feb 41-54,99 1167.244 36.64060 317.616010
## 849 1593.69 Feb 55-69,99 1174.535 36.64060 419.155168
## 850 1735.56 Feb 70-249,99 1355.596 36.64060 379.963819
## 851 1732.95 Mar 10-29,99 1200.768 36.64060 532.181974
## 852 1468.60 Mar 30-40,99 1176.205 36.64060 292.394895
## 853 1530.95 Mar 41-54,99 1192.316 36.64060 338.634277
## 854 1578.12 Mar 55-69,99 1199.607 36.64060 378.513434
## 855 1659.73 Mar 70-249,99 1380.668 36.64060 279.062086
## 856 1681.77 Apr 10-29,99 1193.430 36.64060 488.340374
## 857 1494.24 Apr 30-40,99 1168.867 36.64060 325.373295
## 858 1479.13 Apr 41-54,99 1184.977 36.64060 294.152677
## 859 1485.83 Apr 55-69,99 1192.268 36.64060 293.561834
## 860 1612.77 Apr 70-249,99 1373.330 36.64060 239.440486
## 861 1683.76 May 10-29,99 1188.790 36.64060 494.970240
## 862 1486.97 May 30-40,99 1164.227 36.64060 322.743162
## 863 1514.32 May 41-54,99 1180.337 36.64060 333.982544
## 864 1405.39 May 55-69,99 1187.628 36.64060 217.761701
## 865 1735.29 May 70-249,99 1368.690 36.64060 366.600353
## 866 1906.77 Jun 10-29,99 1193.928 36.64060 712.841707
## 867 1466.82 Jun 30-40,99 1169.365 36.64060 297.454628
## 868 1490.20 Jun 41-54,99 1185.476 36.64060 304.724010
## 869 1539.31 Jun 55-69,99 1192.767 36.64060 346.543168
## 870 1645.14 Jun 70-249,99 1373.828 36.64060 271.311819
## 871 1626.34 Jul 10-29,99 1175.566 36.64060 450.773840
## 872 1531.37 Jul 30-40,99 1151.003 36.64060 380.366762
## 873 1540.07 Jul 41-54,99 1167.114 36.64060 372.956144
## 874 1541.96 Jul 55-69,99 1174.405 36.64060 367.555301
## 875 1629.41 Jul 70-249,99 1355.466 36.64060 273.943953
## 876 1741.49 Aug 10-29,99 1221.775 36.64060 519.715040
## 877 1620.90 Aug 30-40,99 1197.212 36.64060 423.687962
## 878 1613.43 Aug 41-54,99 1213.323 36.64060 400.107344
## 879 1573.68 Aug 55-69,99 1220.613 36.64060 353.066501
## 880 1733.44 Aug 70-249,99 1401.675 36.64060 331.765153
## 881 1637.78 Sep 10-29,99 1224.801 36.64060 412.978907
## 882 1566.74 Sep 30-40,99 1200.238 36.64060 366.501828
## 883 1548.01 Sep 41-54,99 1216.349 36.64060 331.661210
## 884 1654.12 Sep 55-69,99 1223.640 36.64060 430.480368
## 885 1744.40 Sep 70-249,99 1404.701 36.64060 339.699019
## 886 1746.47 Oct 10-29,99 1215.179 36.64060 531.291440
## 887 1757.64 Oct 30-40,99 1190.616 36.64060 567.024362
## 888 1648.90 Oct 41-54,99 1206.726 36.64060 442.173744
## 889 1483.30 Oct 55-69,99 1214.017 36.64060 269.282901
## 890 1609.90 Oct 70-249,99 1395.078 36.64060 214.821553
## .hat .sigma .cooksd .std.resid
## 1 0.01782772 274.2346 2.467191e-03 -1.474712471
## 2 0.01782772 274.2279 2.515370e-03 -1.489041958
## 3 0.01782772 274.1661 2.961275e-03 -1.615642713
## 4 0.01782772 274.1129 3.345132e-03 -1.717167279
## 5 0.01782772 274.1236 3.268097e-03 -1.697279765
## 6 0.01782772 274.1074 3.384381e-03 -1.727211790
## 7 0.01782772 274.2591 2.290565e-03 -1.420945236
## 8 0.01782772 274.1212 3.285083e-03 -1.701685067
## 9 0.01782772 274.1201 3.293050e-03 -1.703747276
## 10 0.01782772 274.1014 3.427746e-03 -1.738242322
## 11 0.01782772 274.1932 2.766245e-03 -1.561533365
## 12 0.01782772 274.2364 2.454646e-03 -1.470958562
## 13 0.01782772 274.1861 2.817123e-03 -1.575828354
## 14 0.01782772 274.0956 3.469498e-03 -1.748796676
## 15 0.01782772 273.9999 4.159835e-03 -1.914890901
## 16 0.01782772 274.2111 2.636888e-03 -1.524585581
## 17 0.01782772 274.2610 2.276756e-03 -1.416655424
## 18 0.01782772 274.2893 2.072488e-03 -1.351611889
## 19 0.01782772 274.2569 2.306416e-03 -1.425853249
## 20 0.01782772 274.0652 3.688831e-03 -1.803226847
## 21 0.01782772 274.2202 2.571290e-03 -1.505502536
## 22 0.01782772 274.3221 1.835755e-03 -1.272076991
## 23 0.01782772 274.2659 2.241798e-03 -1.405737551
## 24 0.01782772 274.2015 2.706002e-03 -1.544436402
## 25 0.01782772 274.1210 3.286442e-03 -1.702036799
## 26 0.01782772 274.3385 1.717396e-03 -1.230385366
## 27 0.01782772 274.3867 1.369913e-03 -1.098885756
## 28 0.01782772 274.2599 2.284910e-03 -1.419189911
## 29 0.01782772 274.2595 2.287881e-03 -1.420112255
## 30 0.01782772 274.2076 2.662241e-03 -1.531897459
## 31 0.01782772 274.3456 1.666636e-03 -1.212066153
## 32 0.01782772 274.3966 1.298159e-03 -1.069719446
## 33 0.01782772 274.3204 1.848374e-03 -1.276441634
## 34 0.01782772 274.2434 2.404099e-03 -1.455734364
## 35 0.01782772 274.3176 1.868794e-03 -1.283472726
## 36 0.01782772 274.3409 1.700773e-03 -1.224416399
## 37 0.01782772 274.3740 1.461388e-03 -1.134981460
## 38 0.01782772 274.2418 2.415382e-03 -1.459146446
## 39 0.01782772 274.1860 2.817751e-03 -1.576004026
## 40 0.01782772 274.2026 2.698232e-03 -1.542217521
## 41 0.01782772 274.4787 7.059135e-04 -0.788826920
## 42 0.01782772 274.4342 1.027291e-03 -0.951596161
## 43 0.01782772 274.3759 1.448037e-03 -1.129784971
## 44 0.01782772 274.3215 1.840458e-03 -1.273705136
## 45 0.01782772 274.1325 3.203497e-03 -1.680421049
## 46 0.01782772 274.4471 9.338567e-04 -0.907289958
## 47 0.01782772 274.2830 2.117819e-03 -1.366313621
## 48 0.01782772 274.3029 1.974874e-03 -1.319397606
## 49 0.01782772 274.3286 1.789255e-03 -1.255862459
## 50 0.01782772 274.3162 1.878791e-03 -1.286901143
## 51 0.01878010 274.5611 1.169084e-04 -0.312620213
## 52 0.01878010 274.5450 2.393644e-04 -0.447325870
## 53 0.01878010 274.4644 8.530221e-04 -0.844450911
## 54 0.01878010 274.4250 1.153120e-03 -0.981819127
## 55 0.01878010 274.3690 1.579217e-03 -1.148987205
## 56 0.01878010 274.5640 9.485033e-05 0.281587704
## 57 0.01878010 274.5685 6.024462e-05 -0.224415786
## 58 0.01878010 274.5266 3.794285e-04 -0.563195602
## 59 0.01878010 274.4579 9.026050e-04 -0.868646627
## 60 0.01878010 274.3503 1.721391e-03 -1.199593358
## 61 0.01782772 274.5739 1.839821e-05 0.127348491
## 62 0.01782772 274.5732 2.312998e-05 -0.142788619
## 63 0.01782772 274.5330 3.134016e-04 -0.525601464
## 64 0.01782772 274.5229 3.863710e-04 -0.583590566
## 65 0.01782772 274.4708 7.626510e-04 -0.819915142
## 66 0.01782772 274.4765 7.216805e-04 0.797587749
## 67 0.01782772 274.4981 5.660512e-04 0.706372573
## 68 0.01782772 274.5741 1.678020e-05 0.121619888
## 69 0.01782772 274.5701 4.618675e-05 -0.201773758
## 70 0.01782772 274.5285 3.462405e-04 -0.552452468
## 71 0.01782772 274.5760 3.190218e-06 0.053029335
## 72 0.01782772 274.5616 1.073637e-04 0.307634295
## 73 0.01782772 274.5672 6.680402e-05 -0.242665070
## 74 0.01782772 274.5541 1.612607e-04 -0.377025083
## 75 0.01782772 274.5164 4.335099e-04 -0.618166506
## 76 0.01782772 274.5065 5.053286e-04 0.667410337
## 77 0.01782772 274.5421 2.482196e-04 0.467760968
## 78 0.01782772 274.5748 1.206174e-05 0.103112413
## 79 0.01782772 274.5754 7.288042e-06 -0.080151458
## 80 0.01782772 274.5646 8.583900e-05 -0.275073219
## 81 0.01782772 274.4533 8.890794e-04 0.885271017
## 82 0.01782772 274.4635 8.155041e-04 0.847850085
## 83 0.01782772 274.5757 5.256579e-06 0.068070286
## 84 0.01782772 274.5756 6.307163e-06 -0.074562935
## 85 0.01782772 274.5624 1.017285e-04 -0.299452099
## 86 0.01782772 274.4436 9.591033e-04 0.919472341
## 87 0.01782772 274.5147 4.461153e-04 0.627089491
## 88 0.01782772 274.5735 2.149333e-05 0.137644175
## 89 0.01782772 274.5764 3.340530e-07 -0.017159857
## 90 0.01782772 274.5733 2.298140e-05 -0.142329275
## 91 0.01782772 274.3823 1.401896e-03 1.111639253
## 92 0.01782772 274.4739 7.405202e-04 0.807931300
## 93 0.01782772 274.5764 3.554326e-07 -0.017700461
## 94 0.01782772 274.5741 1.658726e-05 0.120918653
## 95 0.01782772 274.5583 1.312536e-04 -0.340143050
## 96 0.01782772 274.4632 8.178533e-04 0.849070396
## 97 0.01782772 274.5317 3.228745e-04 0.533485792
## 98 0.01782772 274.5668 6.965105e-05 0.247782035
## 99 0.01782772 274.5758 4.803367e-06 0.065069712
## 100 0.01782772 274.5665 7.198093e-05 0.251892199
## 101 0.01782772 274.4689 7.764137e-04 0.827280112
## 102 0.01782772 274.5023 5.353357e-04 0.686940459
## 103 0.01782772 274.5192 4.135459e-04 0.603764859
## 104 0.01782772 274.5263 3.621552e-04 0.565006373
## 105 0.01782772 274.5740 1.783425e-05 0.125381473
## 106 0.01782772 274.2931 2.045336e-03 1.342728733
## 107 0.01782772 274.4203 1.127228e-03 0.996809029
## 108 0.01782772 274.5244 3.761143e-04 0.575792343
## 109 0.01782772 274.5710 3.901206e-05 0.185440859
## 110 0.01782772 274.5763 7.728544e-07 -0.026100861
## 111 0.01878010 274.3349 1.838445e-03 1.239708593
## 112 0.01878010 274.5168 4.544329e-04 0.616352475
## 113 0.01878010 274.4181 1.205413e-03 1.003834603
## 114 0.01878010 274.4836 7.067511e-04 0.768648005
## 115 0.01878010 274.5377 2.948252e-04 0.496451163
## 116 0.01878010 274.3566 1.673566e-03 1.182811750
## 117 0.01878010 274.3106 2.023188e-03 1.300506215
## 118 0.01878010 274.4037 1.315367e-03 1.048618847
## 119 0.01878010 274.5097 5.083014e-04 0.651860855
## 120 0.01878010 274.5428 2.565010e-04 0.463061634
## 121 0.01782772 274.3559 1.592428e-03 1.184774911
## 122 0.01782772 274.3585 1.573535e-03 1.177725847
## 123 0.01782772 274.3602 1.561369e-03 1.173164118
## 124 0.01782772 274.4917 6.119011e-04 0.734423553
## 125 0.01782772 274.5225 3.894421e-04 0.585905301
## 126 0.01782772 274.1847 2.826965e-03 1.578578679
## 127 0.01782772 274.2113 2.635196e-03 1.524096551
## 128 0.01782772 274.3977 1.290164e-03 1.066420356
## 129 0.01782772 274.3443 1.675739e-03 1.215371790
## 130 0.01782772 274.4824 6.790132e-04 0.773651011
## 131 0.01782772 274.2101 2.644173e-03 1.526690092
## 132 0.01782772 274.1965 2.742156e-03 1.554719435
## 133 0.01782772 274.1916 2.777150e-03 1.564608244
## 134 0.01782772 274.4023 1.257521e-03 1.052842821
## 135 0.01782772 274.4395 9.888667e-04 0.933630114
## 136 0.01782772 273.9735 4.350031e-03 1.958178021
## 137 0.01782772 274.1724 2.916153e-03 1.603286482
## 138 0.01782772 274.1817 2.849120e-03 1.584752221
## 139 0.01782772 274.3809 1.411446e-03 1.115419168
## 140 0.01782772 274.4859 6.536100e-04 0.759041136
## 141 0.01782772 274.1888 2.797366e-03 1.570292723
## 142 0.01782772 274.2601 2.283337e-03 1.418701506
## 143 0.01782772 274.3605 1.558984e-03 1.172267915
## 144 0.01782772 274.4230 1.107996e-03 0.988268648
## 145 0.01782772 274.5540 1.623123e-04 0.378252413
## 146 0.01782772 274.2395 2.432321e-03 1.464253961
## 147 0.01782772 274.0851 3.545604e-03 1.767873089
## 148 0.01782772 274.3329 1.758033e-03 1.244856928
## 149 0.01782772 274.3696 1.493292e-03 1.147303503
## 150 0.01782772 274.4161 1.157934e-03 1.010294204
## 151 0.01782772 274.3355 1.739696e-03 1.238348045
## 152 0.01782772 274.3887 1.355571e-03 1.093118006
## 153 0.01782772 274.3148 1.888764e-03 1.290312267
## 154 0.01782772 274.4664 7.944369e-04 0.836827006
## 155 0.01782772 274.4561 8.686930e-04 0.875062658
## 156 0.01782772 274.1574 3.023756e-03 1.632598444
## 157 0.01782772 274.3643 1.531483e-03 1.161881978
## 158 0.01782772 274.3099 1.924142e-03 1.302340410
## 159 0.01782772 274.4539 8.846996e-04 0.883087849
## 160 0.01782772 274.4506 9.087956e-04 0.895033082
## 161 0.01782772 274.3653 1.524521e-03 1.159238027
## 162 0.01782772 274.4386 9.954964e-04 0.936754601
## 163 0.01782772 274.4025 1.255921e-03 1.052172787
## 164 0.01782772 274.4691 7.749751e-04 0.826513317
## 165 0.01782772 274.3693 1.495742e-03 1.148244265
## 166 0.01782772 274.5074 4.982878e-04 0.662744492
## 167 0.01782772 274.4617 8.285084e-04 0.854583374
## 168 0.01782772 274.4352 1.019569e-03 0.948013208
## 169 0.01782772 274.5221 3.922765e-04 0.588033594
## 170 0.01782772 274.5688 5.492584e-05 0.220036299
## 171 0.01878010 274.4452 9.993784e-04 0.914027456
## 172 0.01878010 274.3963 1.371672e-03 1.070827202
## 173 0.01878010 274.4449 1.001168e-03 0.914845258
## 174 0.01878010 274.4738 7.817731e-04 0.808415464
## 175 0.01878010 274.4242 1.158850e-03 0.984255509
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## 753 0.01782772 274.4895 6.277535e-04 0.743876005
## 754 0.01782772 274.4966 5.765816e-04 0.712912720
## 755 0.01782772 274.5010 5.445568e-04 0.692831441
## 756 0.01782772 274.3094 1.927921e-03 1.303618884
## 757 0.01782772 274.5073 4.995411e-04 0.663577407
## 758 0.01782772 274.5290 3.422935e-04 0.549294541
## 759 0.01782772 274.5253 3.696227e-04 0.570801786
## 760 0.01782772 274.4804 6.935567e-04 0.781892352
## 761 0.01782772 274.3031 1.973363e-03 1.318892576
## 762 0.01782772 274.5143 4.488252e-04 0.628991226
## 763 0.01782772 274.4988 5.607867e-04 0.703080137
## 764 0.01782772 274.5239 3.792269e-04 0.578169967
## 765 0.01782772 274.5224 3.905424e-04 0.586732377
## 766 0.01782772 274.5082 4.927741e-04 0.659067511
## 767 0.01782772 274.5192 4.131589e-04 0.603482288
## 768 0.01782772 274.4981 5.653861e-04 0.705957498
## 769 0.01782772 274.5028 5.316803e-04 0.684591135
## 770 0.01782772 274.4929 6.031471e-04 0.729151197
## 771 0.01878010 274.5271 3.758519e-04 0.560534850
## 772 0.01878010 274.5457 2.340265e-04 0.442310064
## 773 0.01878010 274.4888 6.672749e-04 0.746872812
## 774 0.01878010 274.4939 6.284119e-04 0.724797117
## 775 0.01878010 274.4361 1.068262e-03 0.945003078
## 776 0.01878010 274.5119 4.913401e-04 0.640892759
## 777 0.01878010 274.5252 3.899764e-04 0.570970169
## 778 0.01878010 274.5111 4.978613e-04 0.645131814
## 779 0.01878010 274.4388 1.048107e-03 0.936045513
## 780 0.01878010 274.4473 9.836240e-04 0.906794365
## 781 0.01782772 274.4453 9.471912e-04 0.913744584
## 782 0.01782772 274.5094 4.844816e-04 0.653498555
## 783 0.01782772 274.4755 7.286345e-04 0.801421260
## 784 0.01782772 274.4103 1.199462e-03 1.028251167
## 785 0.01782772 274.4293 1.062405e-03 0.967723089
## 786 0.01782772 274.3644 1.531151e-03 1.161756024
## 787 0.01782772 274.3883 1.358672e-03 1.094367690
## 788 0.01782772 274.4554 8.736795e-04 0.877570572
## 789 0.01782772 274.4449 9.500994e-04 0.915146227
## 790 0.01782772 274.4143 1.170459e-03 1.015743491
## 791 0.01782772 274.3280 1.793604e-03 1.257387947
## 792 0.01782772 274.4375 1.003586e-03 0.940553169
## 793 0.01782772 274.4844 6.644437e-04 0.765305945
## 794 0.01782772 274.4645 8.085889e-04 0.844247645
## 795 0.01782772 274.4772 7.166215e-04 0.794787282
## 796 0.01782772 274.4305 1.053835e-03 0.963811838
## 797 0.01782772 274.4526 8.945757e-04 0.888003216
## 798 0.01782772 274.4225 1.111469e-03 0.989816569
## 799 0.01782772 274.5095 4.831465e-04 0.652597472
## 800 0.01782772 274.4687 7.778747e-04 0.828058084
## 801 0.01782772 274.4816 6.847466e-04 0.776910364
## 802 0.01782772 274.4158 1.159800e-03 1.011108076
## 803 0.01782772 274.4474 9.317686e-04 0.906275053
## 804 0.01782772 274.4643 8.094925e-04 0.844719279
## 805 0.01782772 274.4409 9.789859e-04 0.928953974
## 806 0.01782772 274.3690 1.497684e-03 1.148989544
## 807 0.01782772 274.5059 5.096489e-04 0.670257258
## 808 0.01782772 274.4152 1.164113e-03 1.012986457
## 809 0.01782772 274.4789 7.042828e-04 0.787915304
## 810 0.01782772 274.4412 9.765962e-04 0.927819503
## 811 0.01782772 274.3302 1.777923e-03 1.251879338
## 812 0.01782772 274.3382 1.720050e-03 1.231335752
## 813 0.01782772 274.3356 1.738377e-03 1.237878507
## 814 0.01782772 274.4213 1.119930e-03 0.993576739
## 815 0.01782772 274.2394 2.432470e-03 1.464298989
## 816 0.01782772 274.3371 1.727951e-03 1.234160698
## 817 0.01782772 274.3992 1.279970e-03 1.062199002
## 818 0.01782772 274.3847 1.384271e-03 1.104629100
## 819 0.01782772 274.4567 8.649924e-04 0.873196768
## 820 0.01782772 274.3371 1.727849e-03 1.234124341
## 821 0.01782772 274.3470 1.656264e-03 1.208288964
## 822 0.01782772 274.4201 1.129121e-03 0.997645420
## 823 0.01782772 274.3506 1.630482e-03 1.198847590
## 824 0.01782772 274.4302 1.055926e-03 0.964767832
## 825 0.01782772 274.2405 2.424720e-03 1.461964350
## 826 0.01782772 274.2999 1.996344e-03 1.326550013
## 827 0.01782772 274.4885 6.347747e-04 0.748024442
## 828 0.01782772 274.4164 1.155423e-03 1.009198185
## 829 0.01782772 274.4182 1.142402e-03 1.003495765
## 830 0.01782772 274.4588 8.493651e-04 0.865273062
## 831 0.01878010 274.3215 1.940308e-03 1.273590026
## 832 0.01878010 274.1179 3.489049e-03 1.707842288
## 833 0.01878010 274.1920 2.925798e-03 1.563926697
## 834 0.01878010 274.4420 1.023507e-03 0.924995552
## 835 0.01878010 274.3761 1.524992e-03 1.129088519
## 836 0.01878010 274.2076 2.806752e-03 1.531779474
## 837 0.01878010 274.2633 2.383252e-03 1.411494579
## 838 0.01878010 274.3184 1.964438e-03 1.281484722
## 839 0.01878010 274.2958 2.135839e-03 1.336221657
## 840 0.01878010 274.2204 2.709465e-03 1.504998472
## 841 0.01782772 274.0560 3.755085e-03 1.819348426
## 842 0.01782772 274.2548 2.321891e-03 1.430628654
## 843 0.01782772 273.8761 5.051351e-03 2.110132615
## 844 0.01782772 274.0606 3.722242e-03 1.811374747
## 845 0.01782772 274.2207 2.567452e-03 1.504378580
## 846 0.01782772 274.3463 1.661559e-03 1.210218644
## 847 0.01782772 274.3182 1.864305e-03 1.281930531
## 848 0.01782772 274.3621 1.547304e-03 1.167868283
## 849 0.01782772 274.2031 2.694763e-03 1.541225915
## 850 0.01782772 274.2697 2.214397e-03 1.397120041
## 851 0.01782772 273.9743 4.344015e-03 1.956823421
## 852 0.01782772 274.3948 1.311326e-03 1.075130702
## 853 0.01782772 274.3328 1.758866e-03 1.245152067
## 854 0.01782772 274.2720 2.197524e-03 1.391787002
## 855 0.01782772 274.4110 1.194463e-03 1.026106206
## 856 0.01782772 274.0695 3.657769e-03 1.795618657
## 857 0.01782772 274.3515 1.623808e-03 1.196391678
## 858 0.01782772 274.3926 1.327140e-03 1.081594034
## 859 0.01782772 274.3934 1.321813e-03 1.079421517
## 860 0.01782772 274.4547 8.793589e-04 0.880418305
## 861 0.01782772 274.0556 3.757761e-03 1.819996556
## 862 0.01782772 274.3551 1.597663e-03 1.186720725
## 863 0.01782772 274.3395 1.710876e-03 1.228047728
## 864 0.01782772 274.4757 7.273342e-04 0.800705807
## 865 0.01782772 274.2909 2.061374e-03 1.347982818
## 866 0.01782772 273.4951 7.793942e-03 2.621105969
## 867 0.01782772 274.3885 1.357102e-03 1.093735249
## 868 0.01782772 274.3792 1.424244e-03 1.120464634
## 869 0.01782772 274.3213 1.841983e-03 1.274232914
## 870 0.01782772 274.4201 1.129038e-03 0.997608617
## 871 0.01782772 274.1446 3.116653e-03 1.657487198
## 872 0.01782772 274.2690 2.219096e-03 1.398601653
## 873 0.01782772 274.2809 2.133470e-03 1.371352945
## 874 0.01782772 274.2894 2.072127e-03 1.351494145
## 875 0.01782772 274.4170 1.151051e-03 1.007286923
## 876 0.01782772 274.0022 4.142872e-03 1.910982734
## 877 0.01782772 274.1949 2.753362e-03 1.557892916
## 878 0.01782772 274.2363 2.455410e-03 1.471187413
## 879 0.01782772 274.3116 1.911983e-03 1.298219092
## 880 0.01782772 274.3426 1.688234e-03 1.219894422
## 881 0.01782772 274.2140 2.615934e-03 1.518515917
## 882 0.01782772 274.2910 2.060266e-03 1.347620545
## 883 0.01782772 274.3427 1.687176e-03 1.219512228
## 884 0.01782772 274.1826 2.842351e-03 1.582868469
## 885 0.01782772 274.3313 1.769944e-03 1.249067105
## 886 0.01782772 273.9763 4.329489e-03 1.953548946
## 887 0.01782772 273.8928 4.931448e-03 2.084938247
## 888 0.01782772 274.1609 2.998865e-03 1.625864799
## 889 0.01782772 274.4224 1.112214e-03 0.990148321
## 890 0.01782772 274.4784 7.078263e-04 0.789894936harju %>%
ggplot(aes(factor(month, levels = month.abb), price_unit_area_mean, group = year)) +
geom_line(alpha = 0.3) +
geom_vline(xintercept = ymd("2008-09-15"), linetype = 2) +
facet_wrap(~ area, scales = "free_y") +
labs(title = bquote(Seasonal~trend~price~per~m^2~of~residential~apartments),
subtitle = "Harju county",
x = "Month",
y = bquote(Mean~price~per~unit~area~(eur/m^2)),
caption = "Source: Estonian Land Board, transactions database.") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5)) +
geom_line(data = predicted_pua, aes(month, .fitted, group = 1),
color = "red",
size = 2)
Residuals? Add also year to model to visualise residuals.
predicted_trans2 <- harju %>%
lm(transactions ~ month + year + area, data = .) %>%
augment
predicted_trans2## transactions month year area .fitted .se.fit .resid
## 1 65 Jan 2005 10-29,99 88.58743 9.129342 -23.5874267
## 2 155 Jan 2005 30-40,99 153.91327 9.129342 1.0867306
## 3 253 Jan 2005 41-54,99 245.34585 9.129342 7.6541463
## 4 230 Jan 2005 55-69,99 200.94698 9.129342 29.0530227
## 5 118 Jan 2005 70-249,99 175.78967 9.129342 -57.7896739
## 6 63 Feb 2005 10-29,99 99.50743 9.129342 -36.5074267
## 7 175 Feb 2005 30-40,99 164.83327 9.129342 10.1667306
## 8 257 Feb 2005 41-54,99 256.26585 9.129342 0.7341463
## 9 249 Feb 2005 55-69,99 211.86698 9.129342 37.1330227
## 10 174 Feb 2005 70-249,99 186.70967 9.129342 -12.7096739
## 11 88 Mar 2005 10-29,99 125.02743 9.129342 -37.0274267
## 12 220 Mar 2005 30-40,99 190.35327 9.129342 29.6467306
## 13 350 Mar 2005 41-54,99 281.78585 9.129342 68.2141463
## 14 350 Mar 2005 55-69,99 237.38698 9.129342 112.6130227
## 15 199 Mar 2005 70-249,99 212.22967 9.129342 -13.2296739
## 16 101 Apr 2005 10-29,99 120.92076 9.129342 -19.9207601
## 17 202 Apr 2005 30-40,99 186.24660 9.129342 15.7533972
## 18 360 Apr 2005 41-54,99 277.67919 9.129342 82.3208130
## 19 329 Apr 2005 55-69,99 233.28031 9.129342 95.7196894
## 20 200 Apr 2005 70-249,99 208.12301 9.129342 -8.1230072
## 21 107 May 2005 10-29,99 123.94743 9.129342 -16.9474267
## 22 247 May 2005 30-40,99 189.27327 9.129342 57.7267306
## 23 404 May 2005 41-54,99 280.70585 9.129342 123.2941463
## 24 398 May 2005 55-69,99 236.30698 9.129342 161.6930227
## 25 226 May 2005 70-249,99 211.14967 9.129342 14.8503261
## 26 103 Jun 2005 10-29,99 106.98743 9.129342 -3.9874267
## 27 251 Jun 2005 30-40,99 172.31327 9.129342 78.6867306
## 28 408 Jun 2005 41-54,99 263.74585 9.129342 144.2541463
## 29 417 Jun 2005 55-69,99 219.34698 9.129342 197.6530227
## 30 232 Jun 2005 70-249,99 194.18967 9.129342 37.8103261
## 31 109 Jul 2005 10-29,99 111.74743 9.129342 -2.7474267
## 32 242 Jul 2005 30-40,99 177.07327 9.129342 64.9267306
## 33 422 Jul 2005 41-54,99 268.50585 9.129342 153.4941463
## 34 380 Jul 2005 55-69,99 224.10698 9.129342 155.8930227
## 35 241 Jul 2005 70-249,99 198.94967 9.129342 42.0503261
## 36 179 Aug 2005 10-29,99 119.45409 9.129342 59.5459066
## 37 297 Aug 2005 30-40,99 184.77994 9.129342 112.2200639
## 38 492 Aug 2005 41-54,99 276.21252 9.129342 215.7874796
## 39 421 Aug 2005 55-69,99 231.81364 9.129342 189.1863560
## 40 265 Aug 2005 70-249,99 206.65634 9.129342 58.3436594
## 41 177 Sep 2005 10-29,99 124.25409 9.129342 52.7459066
## 42 302 Sep 2005 30-40,99 189.57994 9.129342 112.4200639
## 43 472 Sep 2005 41-54,99 281.01252 9.129342 190.9874796
## 44 443 Sep 2005 55-69,99 236.61364 9.129342 206.3863560
## 45 281 Sep 2005 70-249,99 211.45634 9.129342 69.5436594
## 46 184 Oct 2005 10-29,99 128.05409 9.129342 55.9459066
## 47 334 Oct 2005 30-40,99 193.37994 9.129342 140.6200639
## 48 512 Oct 2005 41-54,99 284.81252 9.129342 227.1874796
## 49 411 Oct 2005 55-69,99 240.41364 9.129342 170.5863560
## 50 310 Oct 2005 70-249,99 215.25634 9.129342 94.7436594
## 51 166 Nov 2005 10-29,99 128.31564 9.243226 37.6843561
## 52 278 Nov 2005 30-40,99 193.64149 9.243226 84.3585134
## 53 530 Nov 2005 41-54,99 285.07407 9.243226 244.9259292
## 54 461 Nov 2005 55-69,99 240.67519 9.243226 220.3248056
## 55 338 Nov 2005 70-249,99 215.51789 9.243226 122.4821090
## 56 152 Dec 2005 10-29,99 124.98707 9.243226 27.0129276
## 57 323 Dec 2005 30-40,99 190.31292 9.243226 132.6870849
## 58 471 Dec 2005 41-54,99 281.74550 9.243226 189.2545006
## 59 457 Dec 2005 55-69,99 237.34662 9.243226 219.6533770
## 60 339 Dec 2005 70-249,99 212.18932 9.243226 126.8106804
## 61 129 Jan 2006 10-29,99 84.21063 8.912216 44.7893733
## 62 234 Jan 2006 30-40,99 149.53647 8.912216 84.4635306
## 63 447 Jan 2006 41-54,99 240.96905 8.912216 206.0309463
## 64 350 Jan 2006 55-69,99 196.57018 8.912216 153.4298227
## 65 229 Jan 2006 70-249,99 171.41287 8.912216 57.5871261
## 66 102 Feb 2006 10-29,99 95.13063 8.912216 6.8693733
## 67 190 Feb 2006 30-40,99 160.45647 8.912216 29.5435306
## 68 327 Feb 2006 41-54,99 251.88905 8.912216 75.1109463
## 69 321 Feb 2006 55-69,99 207.49018 8.912216 113.5098227
## 70 269 Feb 2006 70-249,99 182.33287 8.912216 86.6671261
## 71 178 Mar 2006 10-29,99 120.65063 8.912216 57.3493733
## 72 225 Mar 2006 30-40,99 185.97647 8.912216 39.0235306
## 73 414 Mar 2006 41-54,99 277.40905 8.912216 136.5909463
## 74 331 Mar 2006 55-69,99 233.01018 8.912216 97.9898227
## 75 272 Mar 2006 70-249,99 207.85287 8.912216 64.1471261
## 76 93 Apr 2006 10-29,99 116.54396 8.912216 -23.5439600
## 77 191 Apr 2006 30-40,99 181.86980 8.912216 9.1301973
## 78 288 Apr 2006 41-54,99 273.30239 8.912216 14.6976130
## 79 287 Apr 2006 55-69,99 228.90351 8.912216 58.0964894
## 80 235 Apr 2006 70-249,99 203.74621 8.912216 31.2537928
## 81 99 May 2006 10-29,99 119.57063 8.912216 -20.5706267
## 82 204 May 2006 30-40,99 184.89647 8.912216 19.1035306
## 83 362 May 2006 41-54,99 276.32905 8.912216 85.6709463
## 84 285 May 2006 55-69,99 231.93018 8.912216 53.0698227
## 85 232 May 2006 70-249,99 206.77287 8.912216 25.2271261
## 86 85 Jun 2006 10-29,99 102.61063 8.912216 -17.6106267
## 87 165 Jun 2006 30-40,99 167.93647 8.912216 -2.9364694
## 88 365 Jun 2006 41-54,99 259.36905 8.912216 105.6309463
## 89 285 Jun 2006 55-69,99 214.97018 8.912216 70.0298227
## 90 271 Jun 2006 70-249,99 189.81287 8.912216 81.1871261
## 91 84 Jul 2006 10-29,99 107.37063 8.912216 -23.3706267
## 92 180 Jul 2006 30-40,99 172.69647 8.912216 7.3035306
## 93 310 Jul 2006 41-54,99 264.12905 8.912216 45.8709463
## 94 278 Jul 2006 55-69,99 219.73018 8.912216 58.2698227
## 95 218 Jul 2006 70-249,99 194.57287 8.912216 23.4271261
## 96 139 Aug 2006 10-29,99 115.07729 8.912216 23.9227066
## 97 248 Aug 2006 30-40,99 180.40314 8.912216 67.5968639
## 98 426 Aug 2006 41-54,99 271.83572 8.912216 154.1642797
## 99 316 Aug 2006 55-69,99 227.43684 8.912216 88.5631561
## 100 243 Aug 2006 70-249,99 202.27954 8.912216 40.7204595
## 101 115 Sep 2006 10-29,99 119.87729 8.912216 -4.8772934
## 102 257 Sep 2006 30-40,99 185.20314 8.912216 71.7968639
## 103 395 Sep 2006 41-54,99 276.63572 8.912216 118.3642797
## 104 343 Sep 2006 55-69,99 232.23684 8.912216 110.7631561
## 105 271 Sep 2006 70-249,99 207.07954 8.912216 63.9204595
## 106 121 Oct 2006 10-29,99 123.67729 8.912216 -2.6772934
## 107 274 Oct 2006 30-40,99 189.00314 8.912216 84.9968639
## 108 476 Oct 2006 41-54,99 280.43572 8.912216 195.5642797
## 109 421 Oct 2006 55-69,99 236.03684 8.912216 184.9631561
## 110 309 Oct 2006 70-249,99 210.87954 8.912216 98.1204595
## 111 138 Nov 2006 10-29,99 123.93884 9.043198 14.0611562
## 112 308 Nov 2006 30-40,99 189.26469 9.043198 118.7353135
## 113 478 Nov 2006 41-54,99 280.69727 9.043198 197.3027292
## 114 367 Nov 2006 55-69,99 236.29839 9.043198 130.7016056
## 115 315 Nov 2006 70-249,99 211.14109 9.043198 103.8589090
## 116 119 Dec 2006 10-29,99 120.61027 9.043198 -1.6102724
## 117 240 Dec 2006 30-40,99 185.93612 9.043198 54.0638849
## 118 429 Dec 2006 41-54,99 277.36870 9.043198 151.6313006
## 119 363 Dec 2006 55-69,99 232.96982 9.043198 130.0301770
## 120 315 Dec 2006 70-249,99 207.81252 9.043198 107.1874804
## 121 99 Jan 2007 10-29,99 79.83383 8.727362 19.1661733
## 122 216 Jan 2007 30-40,99 145.15967 8.727362 70.8403306
## 123 342 Jan 2007 41-54,99 236.59225 8.727362 105.4077464
## 124 270 Jan 2007 55-69,99 192.19338 8.727362 77.8066228
## 125 219 Jan 2007 70-249,99 167.03607 8.727362 51.9639261
## 126 107 Feb 2007 10-29,99 90.75383 8.727362 16.2461733
## 127 239 Feb 2007 30-40,99 156.07967 8.727362 82.9203306
## 128 377 Feb 2007 41-54,99 247.51225 8.727362 129.4877464
## 129 297 Feb 2007 55-69,99 203.11338 8.727362 93.8866228
## 130 238 Feb 2007 70-249,99 177.95607 8.727362 60.0439261
## 131 122 Mar 2007 10-29,99 116.27383 8.727362 5.7261733
## 132 233 Mar 2007 30-40,99 181.59967 8.727362 51.4003306
## 133 457 Mar 2007 41-54,99 273.03225 8.727362 183.9677464
## 134 361 Mar 2007 55-69,99 228.63338 8.727362 132.3666228
## 135 258 Mar 2007 70-249,99 203.47607 8.727362 54.5239261
## 136 121 Apr 2007 10-29,99 112.16716 8.727362 8.8328400
## 137 261 Apr 2007 30-40,99 177.49300 8.727362 83.5069973
## 138 420 Apr 2007 41-54,99 268.92559 8.727362 151.0744130
## 139 322 Apr 2007 55-69,99 224.52671 8.727362 97.4732894
## 140 240 Apr 2007 70-249,99 199.36941 8.727362 40.6305928
## 141 120 May 2007 10-29,99 115.19383 8.727362 4.8061733
## 142 237 May 2007 30-40,99 180.51967 8.727362 56.4803306
## 143 414 May 2007 41-54,99 271.95225 8.727362 142.0477464
## 144 337 May 2007 55-69,99 227.55338 8.727362 109.4466228
## 145 305 May 2007 70-249,99 202.39607 8.727362 102.6039261
## 146 90 Jun 2007 10-29,99 98.23383 8.727362 -8.2338267
## 147 189 Jun 2007 30-40,99 163.55967 8.727362 25.4403306
## 148 312 Jun 2007 41-54,99 254.99225 8.727362 57.0077464
## 149 243 Jun 2007 55-69,99 210.59338 8.727362 32.4066228
## 150 205 Jun 2007 70-249,99 185.43607 8.727362 19.5639261
## 151 84 Jul 2007 10-29,99 102.99383 8.727362 -18.9938267
## 152 179 Jul 2007 30-40,99 168.31967 8.727362 10.6803306
## 153 304 Jul 2007 41-54,99 259.75225 8.727362 44.2477464
## 154 177 Jul 2007 55-69,99 215.35338 8.727362 -38.3533772
## 155 168 Jul 2007 70-249,99 190.19607 8.727362 -22.1960739
## 156 101 Aug 2007 10-29,99 110.70049 8.727362 -9.7004933
## 157 150 Aug 2007 30-40,99 176.02634 8.727362 -26.0263360
## 158 252 Aug 2007 41-54,99 267.45892 8.727362 -15.4589203
## 159 200 Aug 2007 55-69,99 223.06004 8.727362 -23.0600439
## 160 184 Aug 2007 70-249,99 197.90274 8.727362 -13.9027405
## 161 89 Sep 2007 10-29,99 115.50049 8.727362 -26.5004933
## 162 138 Sep 2007 30-40,99 180.82634 8.727362 -42.8263360
## 163 255 Sep 2007 41-54,99 272.25892 8.727362 -17.2589203
## 164 206 Sep 2007 55-69,99 227.86004 8.727362 -21.8600439
## 165 148 Sep 2007 70-249,99 202.70274 8.727362 -54.7027405
## 166 95 Oct 2007 10-29,99 119.30049 8.727362 -24.3004933
## 167 174 Oct 2007 30-40,99 184.62634 8.727362 -10.6263360
## 168 263 Oct 2007 41-54,99 276.05892 8.727362 -13.0589203
## 169 229 Oct 2007 55-69,99 231.66004 8.727362 -2.6600439
## 170 205 Oct 2007 70-249,99 206.50274 8.727362 -1.5027405
## 171 90 Nov 2007 10-29,99 119.56204 8.875706 -29.5620438
## 172 156 Nov 2007 30-40,99 184.88789 8.875706 -28.8878865
## 173 266 Nov 2007 41-54,99 276.32047 8.875706 -10.3204708
## 174 220 Nov 2007 55-69,99 231.92159 8.875706 -11.9215944
## 175 156 Nov 2007 70-249,99 206.76429 8.875706 -50.7642910
## 176 57 Dec 2007 10-29,99 116.23347 8.875706 -59.2334724
## 177 121 Dec 2007 30-40,99 181.55932 8.875706 -60.5593151
## 178 234 Dec 2007 41-54,99 272.99190 8.875706 -38.9918993
## 179 195 Dec 2007 55-69,99 228.59302 8.875706 -33.5930229
## 180 136 Dec 2007 70-249,99 203.43572 8.875706 -67.4357196
## 181 77 Jan 2008 10-29,99 75.45703 8.576865 1.5429734
## 182 118 Jan 2008 30-40,99 140.78287 8.576865 -22.7828693
## 183 194 Jan 2008 41-54,99 232.21545 8.576865 -38.2154536
## 184 158 Jan 2008 55-69,99 187.81658 8.576865 -29.8165772
## 185 116 Jan 2008 70-249,99 162.65927 8.576865 -46.6592738
## 186 64 Feb 2008 10-29,99 86.37703 8.576865 -22.3770266
## 187 134 Feb 2008 30-40,99 151.70287 8.576865 -17.7028693
## 188 237 Feb 2008 41-54,99 243.13545 8.576865 -6.1354536
## 189 181 Feb 2008 55-69,99 198.73658 8.576865 -17.7365772
## 190 158 Feb 2008 70-249,99 173.57927 8.576865 -15.5792738
## 191 70 Mar 2008 10-29,99 111.89703 8.576865 -41.8970266
## 192 112 Mar 2008 30-40,99 177.22287 8.576865 -65.2228693
## 193 236 Mar 2008 41-54,99 268.65545 8.576865 -32.6554536
## 194 214 Mar 2008 55-69,99 224.25658 8.576865 -10.2565772
## 195 181 Mar 2008 70-249,99 199.09927 8.576865 -18.0992738
## 196 82 Apr 2008 10-29,99 107.79036 8.576865 -25.7903600
## 197 166 Apr 2008 30-40,99 173.11620 8.576865 -7.1162027
## 198 239 Apr 2008 41-54,99 264.54879 8.576865 -25.5487869
## 199 221 Apr 2008 55-69,99 220.14991 8.576865 0.8500895
## 200 193 Apr 2008 70-249,99 194.99261 8.576865 -1.9926072
## 201 54 May 2008 10-29,99 110.81703 8.576865 -56.8170266
## 202 140 May 2008 30-40,99 176.14287 8.576865 -36.1428693
## 203 223 May 2008 41-54,99 267.57545 8.576865 -44.5754536
## 204 218 May 2008 55-69,99 223.17658 8.576865 -5.1765772
## 205 150 May 2008 70-249,99 198.01927 8.576865 -48.0192738
## 206 77 Jun 2008 10-29,99 93.85703 8.576865 -16.8570266
## 207 108 Jun 2008 30-40,99 159.18287 8.576865 -51.1828693
## 208 190 Jun 2008 41-54,99 250.61545 8.576865 -60.6154536
## 209 143 Jun 2008 55-69,99 206.21658 8.576865 -63.2165772
## 210 163 Jun 2008 70-249,99 181.05927 8.576865 -18.0592738
## 211 56 Jul 2008 10-29,99 98.61703 8.576865 -42.6170266
## 212 152 Jul 2008 30-40,99 163.94287 8.576865 -11.9428693
## 213 209 Jul 2008 41-54,99 255.37545 8.576865 -46.3754536
## 214 177 Jul 2008 55-69,99 210.97658 8.576865 -33.9765772
## 215 152 Jul 2008 70-249,99 185.81927 8.576865 -33.8192738
## 216 76 Aug 2008 10-29,99 106.32369 8.576865 -30.3236933
## 217 94 Aug 2008 30-40,99 171.64954 8.576865 -77.6495360
## 218 174 Aug 2008 41-54,99 263.08212 8.576865 -89.0821203
## 219 161 Aug 2008 55-69,99 218.68324 8.576865 -57.6832439
## 220 110 Aug 2008 70-249,99 193.52594 8.576865 -83.5259405
## 221 75 Sep 2008 10-29,99 111.12369 8.576865 -36.1236933
## 222 101 Sep 2008 30-40,99 176.44954 8.576865 -75.4495360
## 223 205 Sep 2008 41-54,99 267.88212 8.576865 -62.8821203
## 224 151 Sep 2008 55-69,99 223.48324 8.576865 -72.4832439
## 225 150 Sep 2008 70-249,99 198.32594 8.576865 -48.3259405
## 226 69 Oct 2008 10-29,99 114.92369 8.576865 -45.9236933
## 227 109 Oct 2008 30-40,99 180.24954 8.576865 -71.2495360
## 228 188 Oct 2008 41-54,99 271.68212 8.576865 -83.6821203
## 229 154 Oct 2008 55-69,99 227.28324 8.576865 -73.2832439
## 230 148 Oct 2008 70-249,99 202.12594 8.576865 -54.1259405
## 231 42 Nov 2008 10-29,99 115.18524 8.742620 -73.1852438
## 232 94 Nov 2008 30-40,99 180.51109 8.742620 -86.5110865
## 233 113 Nov 2008 41-54,99 271.94367 8.742620 -158.9436707
## 234 125 Nov 2008 55-69,99 227.54479 8.742620 -102.5447943
## 235 100 Nov 2008 70-249,99 202.38749 8.742620 -102.3874909
## 236 49 Dec 2008 10-29,99 111.85667 8.742620 -62.8566723
## 237 67 Dec 2008 30-40,99 177.18252 8.742620 -110.1825150
## 238 140 Dec 2008 41-54,99 268.61510 8.742620 -128.6150993
## 239 100 Dec 2008 55-69,99 224.21622 8.742620 -124.2162229
## 240 113 Dec 2008 70-249,99 199.05892 8.742620 -86.0589195
## 241 23 Jan 2009 10-29,99 71.08023 8.462559 -48.0802266
## 242 64 Jan 2009 30-40,99 136.40607 8.462559 -72.4060693
## 243 80 Jan 2009 41-54,99 227.83865 8.462559 -147.8386536
## 244 68 Jan 2009 55-69,99 183.43978 8.462559 -115.4397772
## 245 88 Jan 2009 70-249,99 158.28247 8.462559 -70.2824738
## 246 49 Feb 2009 10-29,99 82.00023 8.462559 -33.0002266
## 247 60 Feb 2009 30-40,99 147.32607 8.462559 -87.3260693
## 248 85 Feb 2009 41-54,99 238.75865 8.462559 -153.7586536
## 249 89 Feb 2009 55-69,99 194.35978 8.462559 -105.3597772
## 250 82 Feb 2009 70-249,99 169.20247 8.462559 -87.2024738
## 251 56 Mar 2009 10-29,99 107.52023 8.462559 -51.5202266
## 252 58 Mar 2009 30-40,99 172.84607 8.462559 -114.8460693
## 253 95 Mar 2009 41-54,99 264.27865 8.462559 -169.2786536
## 254 89 Mar 2009 55-69,99 219.87978 8.462559 -130.8797772
## 255 79 Mar 2009 70-249,99 194.72247 8.462559 -115.7224738
## 256 30 Apr 2009 10-29,99 103.41356 8.462559 -73.4135599
## 257 83 Apr 2009 30-40,99 168.73940 8.462559 -85.7394026
## 258 112 Apr 2009 41-54,99 260.17199 8.462559 -148.1719869
## 259 146 Apr 2009 55-69,99 215.77311 8.462559 -69.7731105
## 260 112 Apr 2009 70-249,99 190.61581 8.462559 -78.6158071
## 261 36 May 2009 10-29,99 106.44023 8.462559 -70.4402266
## 262 79 May 2009 30-40,99 171.76607 8.462559 -92.7660693
## 263 104 May 2009 41-54,99 263.19865 8.462559 -159.1986536
## 264 76 May 2009 55-69,99 218.79978 8.462559 -142.7997772
## 265 99 May 2009 70-249,99 193.64247 8.462559 -94.6424738
## 266 48 Jun 2009 10-29,99 89.48023 8.462559 -41.4802266
## 267 82 Jun 2009 30-40,99 154.80607 8.462559 -72.8060693
## 268 100 Jun 2009 41-54,99 246.23865 8.462559 -146.2386536
## 269 97 Jun 2009 55-69,99 201.83978 8.462559 -104.8397772
## 270 97 Jun 2009 70-249,99 176.68247 8.462559 -79.6824738
## 271 79 Jul 2009 10-29,99 94.24023 8.462559 -15.2402266
## 272 92 Jul 2009 30-40,99 159.56607 8.462559 -67.5660693
## 273 171 Jul 2009 41-54,99 250.99865 8.462559 -79.9986536
## 274 134 Jul 2009 55-69,99 206.59978 8.462559 -72.5997772
## 275 101 Jul 2009 70-249,99 181.44247 8.462559 -80.4424738
## 276 56 Aug 2009 10-29,99 101.94689 8.462559 -45.9468933
## 277 74 Aug 2009 30-40,99 167.27274 8.462559 -93.2727360
## 278 117 Aug 2009 41-54,99 258.70532 8.462559 -141.7053202
## 279 121 Aug 2009 55-69,99 214.30644 8.462559 -93.3064438
## 280 100 Aug 2009 70-249,99 189.14914 8.462559 -89.1491405
## 281 62 Sep 2009 10-29,99 106.74689 8.462559 -44.7468933
## 282 124 Sep 2009 30-40,99 172.07274 8.462559 -48.0727360
## 283 158 Sep 2009 41-54,99 263.50532 8.462559 -105.5053202
## 284 133 Sep 2009 55-69,99 219.10644 8.462559 -86.1064438
## 285 107 Sep 2009 70-249,99 193.94914 8.462559 -86.9491405
## 286 71 Oct 2009 10-29,99 110.54689 8.462559 -39.5468933
## 287 114 Oct 2009 30-40,99 175.87274 8.462559 -61.8727360
## 288 169 Oct 2009 41-54,99 267.30532 8.462559 -98.3053202
## 289 169 Oct 2009 55-69,99 222.90644 8.462559 -53.9064438
## 290 123 Oct 2009 70-249,99 197.74914 8.462559 -74.7491405
## 291 68 Nov 2009 10-29,99 110.80844 8.645530 -42.8084437
## 292 114 Nov 2009 30-40,99 176.13429 8.645530 -62.1342864
## 293 175 Nov 2009 41-54,99 267.56687 8.645530 -92.5668707
## 294 113 Nov 2009 55-69,99 223.16799 8.645530 -110.1679943
## 295 153 Nov 2009 70-249,99 198.01069 8.645530 -45.0106909
## 296 69 Dec 2009 10-29,99 107.47987 8.645530 -38.4798723
## 297 118 Dec 2009 30-40,99 172.80571 8.645530 -54.8057150
## 298 159 Dec 2009 41-54,99 264.23830 8.645530 -105.2382993
## 299 139 Dec 2009 55-69,99 219.83942 8.645530 -80.8394229
## 300 120 Dec 2009 70-249,99 194.68212 8.645530 -74.6821195
## 301 41 Jan 2010 10-29,99 66.70343 8.385924 -25.7034266
## 302 72 Jan 2010 30-40,99 132.02927 8.385924 -60.0292693
## 303 120 Jan 2010 41-54,99 223.46185 8.385924 -103.4618535
## 304 98 Jan 2010 55-69,99 179.06298 8.385924 -81.0629771
## 305 99 Jan 2010 70-249,99 153.90567 8.385924 -54.9056738
## 306 56 Feb 2010 10-29,99 77.62343 8.385924 -21.6234266
## 307 111 Feb 2010 30-40,99 142.94927 8.385924 -31.9492693
## 308 125 Feb 2010 41-54,99 234.38185 8.385924 -109.3818535
## 309 113 Feb 2010 55-69,99 189.98298 8.385924 -76.9829771
## 310 94 Feb 2010 70-249,99 164.82567 8.385924 -70.8256738
## 311 92 Mar 2010 10-29,99 103.14343 8.385924 -11.1434266
## 312 126 Mar 2010 30-40,99 168.46927 8.385924 -42.4692693
## 313 160 Mar 2010 41-54,99 259.90185 8.385924 -99.9018535
## 314 133 Mar 2010 55-69,99 215.50298 8.385924 -82.5029771
## 315 106 Mar 2010 70-249,99 190.34567 8.385924 -84.3456738
## 316 84 Apr 2010 10-29,99 99.03676 8.385924 -15.0367599
## 317 158 Apr 2010 30-40,99 164.36260 8.385924 -6.3626026
## 318 154 Apr 2010 41-54,99 255.79519 8.385924 -101.7951869
## 319 160 Apr 2010 55-69,99 211.39631 8.385924 -51.3963105
## 320 102 Apr 2010 70-249,99 186.23901 8.385924 -84.2390071
## 321 63 May 2010 10-29,99 102.06343 8.385924 -39.0634266
## 322 157 May 2010 30-40,99 167.38927 8.385924 -10.3892693
## 323 163 May 2010 41-54,99 258.82185 8.385924 -95.8218535
## 324 150 May 2010 55-69,99 214.42298 8.385924 -64.4229771
## 325 124 May 2010 70-249,99 189.26567 8.385924 -65.2656738
## 326 56 Jun 2010 10-29,99 85.10343 8.385924 -29.1034266
## 327 124 Jun 2010 30-40,99 150.42927 8.385924 -26.4292693
## 328 159 Jun 2010 41-54,99 241.86185 8.385924 -82.8618535
## 329 122 Jun 2010 55-69,99 197.46298 8.385924 -75.4629771
## 330 115 Jun 2010 70-249,99 172.30567 8.385924 -57.3056738
## 331 66 Jul 2010 10-29,99 89.86343 8.385924 -23.8634266
## 332 116 Jul 2010 30-40,99 155.18927 8.385924 -39.1892693
## 333 136 Jul 2010 41-54,99 246.62185 8.385924 -110.6218535
## 334 158 Jul 2010 55-69,99 202.22298 8.385924 -44.2229771
## 335 102 Jul 2010 70-249,99 177.06567 8.385924 -75.0656738
## 336 64 Aug 2010 10-29,99 97.57009 8.385924 -33.5700932
## 337 92 Aug 2010 30-40,99 162.89594 8.385924 -70.8959359
## 338 138 Aug 2010 41-54,99 254.32852 8.385924 -116.3285202
## 339 135 Aug 2010 55-69,99 209.92964 8.385924 -74.9296438
## 340 91 Aug 2010 70-249,99 184.77234 8.385924 -93.7723404
## 341 76 Sep 2010 10-29,99 102.37009 8.385924 -26.3700932
## 342 121 Sep 2010 30-40,99 167.69594 8.385924 -46.6959359
## 343 179 Sep 2010 41-54,99 259.12852 8.385924 -80.1285202
## 344 143 Sep 2010 55-69,99 214.72964 8.385924 -71.7296438
## 345 122 Sep 2010 70-249,99 189.57234 8.385924 -67.5723404
## 346 72 Oct 2010 10-29,99 106.17009 8.385924 -34.1700932
## 347 122 Oct 2010 30-40,99 171.49594 8.385924 -49.4959359
## 348 153 Oct 2010 41-54,99 262.92852 8.385924 -109.9285202
## 349 118 Oct 2010 55-69,99 218.52964 8.385924 -100.5296438
## 350 124 Oct 2010 70-249,99 193.37234 8.385924 -69.3723404
## 351 93 Nov 2010 10-29,99 106.43164 8.585657 -13.4316437
## 352 130 Nov 2010 30-40,99 171.75749 8.585657 -41.7574864
## 353 211 Nov 2010 41-54,99 263.19007 8.585657 -52.1900707
## 354 149 Nov 2010 55-69,99 218.79119 8.585657 -69.7911943
## 355 138 Nov 2010 70-249,99 193.63389 8.585657 -55.6338909
## 356 113 Dec 2010 10-29,99 103.10307 8.585657 9.8969277
## 357 121 Dec 2010 30-40,99 168.42891 8.585657 -47.4289150
## 358 163 Dec 2010 41-54,99 259.86150 8.585657 -96.8614992
## 359 165 Dec 2010 55-69,99 215.46262 8.585657 -50.4626228
## 360 136 Dec 2010 70-249,99 190.30532 8.585657 -54.3053195
## 361 44 Jan 2011 10-29,99 62.32663 8.347999 -18.3266265
## 362 84 Jan 2011 30-40,99 127.65247 8.347999 -43.6524692
## 363 109 Jan 2011 41-54,99 219.08505 8.347999 -110.0850535
## 364 90 Jan 2011 55-69,99 174.68618 8.347999 -84.6861771
## 365 76 Jan 2011 70-249,99 149.52887 8.347999 -73.5288737
## 366 44 Feb 2011 10-29,99 73.24663 8.347999 -29.2466265
## 367 88 Feb 2011 30-40,99 138.57247 8.347999 -50.5724692
## 368 122 Feb 2011 41-54,99 230.00505 8.347999 -108.0050535
## 369 97 Feb 2011 55-69,99 185.60618 8.347999 -88.6061771
## 370 110 Feb 2011 70-249,99 160.44887 8.347999 -50.4488737
## 371 97 Mar 2011 10-29,99 98.76663 8.347999 -1.7666265
## 372 103 Mar 2011 30-40,99 164.09247 8.347999 -61.0924692
## 373 149 Mar 2011 41-54,99 255.52505 8.347999 -106.5250535
## 374 120 Mar 2011 55-69,99 211.12618 8.347999 -91.1261771
## 375 109 Mar 2011 70-249,99 185.96887 8.347999 -76.9688737
## 376 50 Apr 2011 10-29,99 94.65996 8.347999 -44.6599599
## 377 100 Apr 2011 30-40,99 159.98580 8.347999 -59.9858026
## 378 146 Apr 2011 41-54,99 251.41839 8.347999 -105.4183868
## 379 120 Apr 2011 55-69,99 207.01951 8.347999 -87.0195104
## 380 117 Apr 2011 70-249,99 181.86221 8.347999 -64.8622071
## 381 76 May 2011 10-29,99 97.68663 8.347999 -21.6866265
## 382 100 May 2011 30-40,99 163.01247 8.347999 -63.0124692
## 383 143 May 2011 41-54,99 254.44505 8.347999 -111.4450535
## 384 122 May 2011 55-69,99 210.04618 8.347999 -88.0461771
## 385 117 May 2011 70-249,99 184.88887 8.347999 -67.8888737
## 386 46 Jun 2011 10-29,99 80.72663 8.347999 -34.7266265
## 387 115 Jun 2011 30-40,99 146.05247 8.347999 -31.0524692
## 388 168 Jun 2011 41-54,99 237.48505 8.347999 -69.4850535
## 389 119 Jun 2011 55-69,99 193.08618 8.347999 -74.0861771
## 390 125 Jun 2011 70-249,99 167.92887 8.347999 -42.9288737
## 391 47 Jul 2011 10-29,99 85.48663 8.347999 -38.4866265
## 392 90 Jul 2011 30-40,99 150.81247 8.347999 -60.8124692
## 393 155 Jul 2011 41-54,99 242.24505 8.347999 -87.2450535
## 394 119 Jul 2011 55-69,99 197.84618 8.347999 -78.8461771
## 395 95 Jul 2011 70-249,99 172.68887 8.347999 -77.6888737
## 396 69 Aug 2011 10-29,99 93.19329 8.347999 -24.1932932
## 397 131 Aug 2011 30-40,99 158.51914 8.347999 -27.5191359
## 398 196 Aug 2011 41-54,99 249.95172 8.347999 -53.9517202
## 399 133 Aug 2011 55-69,99 205.55284 8.347999 -72.5528438
## 400 127 Aug 2011 70-249,99 180.39554 8.347999 -53.3955404
## 401 65 Sep 2011 10-29,99 97.99329 8.347999 -32.9932932
## 402 125 Sep 2011 30-40,99 163.31914 8.347999 -38.3191359
## 403 153 Sep 2011 41-54,99 254.75172 8.347999 -101.7517202
## 404 136 Sep 2011 55-69,99 210.35284 8.347999 -74.3528438
## 405 158 Sep 2011 70-249,99 185.19554 8.347999 -27.1955404
## 406 78 Oct 2011 10-29,99 101.79329 8.347999 -23.7932932
## 407 131 Oct 2011 30-40,99 167.11914 8.347999 -36.1191359
## 408 180 Oct 2011 41-54,99 258.55172 8.347999 -78.5517202
## 409 124 Oct 2011 55-69,99 214.15284 8.347999 -90.1528438
## 410 129 Oct 2011 70-249,99 188.99554 8.347999 -59.9955404
## 411 58 Nov 2011 10-29,99 102.05484 8.563781 -44.0548437
## 412 114 Nov 2011 30-40,99 167.38069 8.563781 -53.3806864
## 413 178 Nov 2011 41-54,99 258.81327 8.563781 -80.8132706
## 414 174 Nov 2011 55-69,99 214.41439 8.563781 -40.4143942
## 415 130 Nov 2011 70-249,99 189.25709 8.563781 -59.2570909
## 416 82 Dec 2011 10-29,99 98.72627 8.563781 -16.7262722
## 417 138 Dec 2011 30-40,99 164.05211 8.563781 -26.0521149
## 418 204 Dec 2011 41-54,99 255.48470 8.563781 -51.4846992
## 419 153 Dec 2011 55-69,99 211.08582 8.563781 -58.0858228
## 420 135 Dec 2011 70-249,99 185.92852 8.563781 -50.9285194
## 421 72 Jan 2012 10-29,99 57.94983 8.349309 14.0501735
## 422 119 Jan 2012 30-40,99 123.27567 8.349309 -4.2756692
## 423 156 Jan 2012 41-54,99 214.70825 8.349309 -58.7082535
## 424 122 Jan 2012 55-69,99 170.30938 8.349309 -48.3093771
## 425 95 Jan 2012 70-249,99 145.15207 8.349309 -50.1520737
## 426 66 Feb 2012 10-29,99 68.86983 8.349309 -2.8698265
## 427 98 Feb 2012 30-40,99 134.19567 8.349309 -36.1956692
## 428 184 Feb 2012 41-54,99 225.62825 8.349309 -41.6282535
## 429 133 Feb 2012 55-69,99 181.22938 8.349309 -48.2293771
## 430 128 Feb 2012 70-249,99 156.07207 8.349309 -28.0720737
## 431 66 Mar 2012 10-29,99 94.38983 8.349309 -28.3898265
## 432 122 Mar 2012 30-40,99 159.71567 8.349309 -37.7156692
## 433 182 Mar 2012 41-54,99 251.14825 8.349309 -69.1482535
## 434 141 Mar 2012 55-69,99 206.74938 8.349309 -65.7493771
## 435 143 Mar 2012 70-249,99 181.59207 8.349309 -38.5920737
## 436 76 Apr 2012 10-29,99 90.28316 8.349309 -14.2831598
## 437 148 Apr 2012 30-40,99 155.60900 8.349309 -7.6090025
## 438 182 Apr 2012 41-54,99 247.04159 8.349309 -65.0415868
## 439 143 Apr 2012 55-69,99 202.64271 8.349309 -59.6427104
## 440 121 Apr 2012 70-249,99 177.48541 8.349309 -56.4854070
## 441 77 May 2012 10-29,99 93.30983 8.349309 -16.3098265
## 442 127 May 2012 30-40,99 158.63567 8.349309 -31.6356692
## 443 222 May 2012 41-54,99 250.06825 8.349309 -28.0682535
## 444 187 May 2012 55-69,99 205.66938 8.349309 -18.6693771
## 445 137 May 2012 70-249,99 180.51207 8.349309 -43.5120737
## 446 77 Jun 2012 10-29,99 76.34983 8.349309 0.6501735
## 447 118 Jun 2012 30-40,99 141.67567 8.349309 -23.6756692
## 448 204 Jun 2012 41-54,99 233.10825 8.349309 -29.1082535
## 449 141 Jun 2012 55-69,99 188.70938 8.349309 -47.7093771
## 450 147 Jun 2012 70-249,99 163.55207 8.349309 -16.5520737
## 451 86 Jul 2012 10-29,99 81.10983 8.349309 4.8901735
## 452 150 Jul 2012 30-40,99 146.43567 8.349309 3.5643308
## 453 180 Jul 2012 41-54,99 237.86825 8.349309 -57.8682535
## 454 145 Jul 2012 55-69,99 193.46938 8.349309 -48.4693771
## 455 136 Jul 2012 70-249,99 168.31207 8.349309 -32.3120737
## 456 100 Aug 2012 10-29,99 88.81649 8.349309 11.1835068
## 457 149 Aug 2012 30-40,99 154.14234 8.349309 -5.1423359
## 458 213 Aug 2012 41-54,99 245.57492 8.349309 -32.5749201
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## 659 202 Dec 2014 55-69,99 197.95542 8.726513 4.0445773
## 660 176 Dec 2014 70-249,99 172.79812 8.726513 3.2018807
## 661 80 Jan 2015 10-29,99 44.81943 8.585790 35.1805736
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## 689 172 Jun 2015 55-69,99 175.57898 8.585790 -3.5789770
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## 763 249 Sep 2015 41-54,99 237.24452 8.585790 11.7554800
## 764 177 Sep 2015 55-69,99 192.84564 8.585790 -15.8456436
## 765 170 Sep 2015 70-249,99 167.68834 8.585790 2.3116597
## 766 79 Oct 2015 10-29,99 84.28609 8.585790 -5.2860931
## 767 208 Oct 2015 30-40,99 149.61194 8.585790 58.3880642
## 768 260 Oct 2015 41-54,99 241.04452 8.585790 18.9554800
## 769 222 Oct 2015 55-69,99 196.64564 8.585790 25.3543564
## 770 189 Oct 2015 70-249,99 171.48834 8.585790 17.5116597
## 771 79 Nov 2015 10-29,99 84.54764 8.854546 -5.5476435
## 772 184 Nov 2015 30-40,99 149.87349 8.854546 34.1265138
## 773 278 Nov 2015 41-54,99 241.30607 8.854546 36.6939295
## 774 209 Nov 2015 55-69,99 196.90719 8.854546 12.0928059
## 775 228 Nov 2015 70-249,99 171.74989 8.854546 56.2501093
## 776 107 Dec 2015 10-29,99 81.21907 8.854546 25.7809279
## 777 145 Dec 2015 30-40,99 146.54491 8.854546 -1.5449148
## 778 291 Dec 2015 41-54,99 237.97750 8.854546 53.0225009
## 779 238 Dec 2015 55-69,99 193.57862 8.854546 44.4213773
## 780 295 Dec 2015 70-249,99 168.42132 8.854546 126.5786807
## 781 73 Jan 2016 10-29,99 40.44263 8.738638 32.5573736
## 782 118 Jan 2016 30-40,99 105.76847 8.738638 12.2315309
## 783 214 Jan 2016 41-54,99 197.20105 8.738638 16.7989467
## 784 146 Jan 2016 55-69,99 152.80218 8.738638 -6.8021769
## 785 133 Jan 2016 70-249,99 127.64487 8.738638 5.3551264
## 786 89 Feb 2016 10-29,99 51.36263 8.738638 37.6373736
## 787 128 Feb 2016 30-40,99 116.68847 8.738638 11.3115309
## 788 269 Feb 2016 41-54,99 208.12105 8.738638 60.8789467
## 789 210 Feb 2016 55-69,99 163.72218 8.738638 46.2778231
## 790 148 Feb 2016 70-249,99 138.56487 8.738638 9.4351264
## 791 102 Mar 2016 10-29,99 76.88263 8.738638 25.1173736
## 792 183 Mar 2016 30-40,99 142.20847 8.738638 40.7915309
## 793 276 Mar 2016 41-54,99 233.64105 8.738638 42.3589467
## 794 220 Mar 2016 55-69,99 189.24218 8.738638 30.7578231
## 795 205 Mar 2016 70-249,99 164.08487 8.738638 40.9151264
## 796 84 Apr 2016 10-29,99 72.77596 8.738638 11.2240403
## 797 190 Apr 2016 30-40,99 138.10180 8.738638 51.8981976
## 798 276 Apr 2016 41-54,99 229.53439 8.738638 46.4656133
## 799 171 Apr 2016 55-69,99 185.13551 8.738638 -14.1355103
## 800 209 Apr 2016 70-249,99 159.97821 8.738638 49.0217931
## 801 90 May 2016 10-29,99 75.80263 8.738638 14.1973736
## 802 172 May 2016 30-40,99 141.12847 8.738638 30.8715309
## 803 275 May 2016 41-54,99 232.56105 8.738638 42.4389467
## 804 209 May 2016 55-69,99 188.16218 8.738638 20.8378231
## 805 244 May 2016 70-249,99 163.00487 8.738638 80.9951264
## 806 79 Jun 2016 10-29,99 58.84263 8.738638 20.1573736
## 807 134 Jun 2016 30-40,99 124.16847 8.738638 9.8315309
## 808 231 Jun 2016 41-54,99 215.60105 8.738638 15.3989467
## 809 223 Jun 2016 55-69,99 171.20218 8.738638 51.7978231
## 810 229 Jun 2016 70-249,99 146.04487 8.738638 82.9551264
## 811 77 Jul 2016 10-29,99 63.60263 8.738638 13.3973736
## 812 166 Jul 2016 30-40,99 128.92847 8.738638 37.0715309
## 813 278 Jul 2016 41-54,99 220.36105 8.738638 57.6389467
## 814 174 Jul 2016 55-69,99 175.96218 8.738638 -1.9621769
## 815 198 Jul 2016 70-249,99 150.80487 8.738638 47.1951264
## 816 90 Aug 2016 10-29,99 71.30929 8.738638 18.6907070
## 817 177 Aug 2016 30-40,99 136.63514 8.738638 40.3648643
## 818 296 Aug 2016 41-54,99 228.06772 8.738638 67.9322800
## 819 240 Aug 2016 55-69,99 183.66884 8.738638 56.3311564
## 820 225 Aug 2016 70-249,99 158.51154 8.738638 66.4884598
## 821 104 Sep 2016 10-29,99 76.10929 8.738638 27.8907070
## 822 174 Sep 2016 30-40,99 141.43514 8.738638 32.5648643
## 823 288 Sep 2016 41-54,99 232.86772 8.738638 55.1322800
## 824 203 Sep 2016 55-69,99 188.46884 8.738638 14.5311564
## 825 189 Sep 2016 70-249,99 163.31154 8.738638 25.6884598
## 826 87 Oct 2016 10-29,99 79.90929 8.738638 7.0907070
## 827 154 Oct 2016 30-40,99 145.23514 8.738638 8.7648643
## 828 298 Oct 2016 41-54,99 236.66772 8.738638 61.3322800
## 829 222 Oct 2016 55-69,99 192.26884 8.738638 29.7311564
## 830 214 Oct 2016 70-249,99 167.11154 8.738638 46.8884598
## 831 70 Nov 2016 10-29,99 80.17084 9.017232 -10.1708435
## 832 164 Nov 2016 30-40,99 145.49669 9.017232 18.5033138
## 833 288 Nov 2016 41-54,99 236.92927 9.017232 51.0707295
## 834 252 Nov 2016 55-69,99 192.53039 9.017232 59.4696059
## 835 211 Nov 2016 70-249,99 167.37309 9.017232 43.6269093
## 836 87 Dec 2016 10-29,99 76.84227 9.017232 10.1577279
## 837 195 Dec 2016 30-40,99 142.16811 9.017232 52.8318852
## 838 296 Dec 2016 41-54,99 233.60070 9.017232 62.3993010
## 839 285 Dec 2016 55-69,99 189.20182 9.017232 95.7981774
## 840 272 Dec 2016 70-249,99 164.04452 9.017232 107.9554807
## 841 84 Jan 2017 10-29,99 36.06583 8.925712 47.9341737
## 842 152 Jan 2017 30-40,99 101.39167 8.925712 50.6083310
## 843 260 Jan 2017 41-54,99 192.82425 8.925712 67.1757467
## 844 211 Jan 2017 55-69,99 148.42538 8.925712 62.5746231
## 845 227 Jan 2017 70-249,99 123.26807 8.925712 103.7319265
## 846 70 Feb 2017 10-29,99 46.98583 8.925712 23.0141737
## 847 129 Feb 2017 30-40,99 112.31167 8.925712 16.6883310
## 848 221 Feb 2017 41-54,99 203.74425 8.925712 17.2557467
## 849 211 Feb 2017 55-69,99 159.34538 8.925712 51.6546231
## 850 232 Feb 2017 70-249,99 134.18807 8.925712 97.8119265
## 851 104 Mar 2017 10-29,99 72.50583 8.925712 31.4941737
## 852 201 Mar 2017 30-40,99 137.83167 8.925712 63.1683310
## 853 340 Mar 2017 41-54,99 229.26425 8.925712 110.7357467
## 854 312 Mar 2017 55-69,99 184.86538 8.925712 127.1346231
## 855 258 Mar 2017 70-249,99 159.70807 8.925712 98.2919265
## 856 103 Apr 2017 10-29,99 68.39916 8.925712 34.6008403
## 857 151 Apr 2017 30-40,99 133.72500 8.925712 17.2749976
## 858 267 Apr 2017 41-54,99 225.15759 8.925712 41.8424134
## 859 190 Apr 2017 55-69,99 180.75871 8.925712 9.2412898
## 860 187 Apr 2017 70-249,99 155.60141 8.925712 31.3985931
## 861 105 May 2017 10-29,99 71.42583 8.925712 33.5741737
## 862 174 May 2017 30-40,99 136.75167 8.925712 37.2483310
## 863 261 May 2017 41-54,99 228.18425 8.925712 32.8157467
## 864 242 May 2017 55-69,99 183.78538 8.925712 58.2146231
## 865 256 May 2017 70-249,99 158.62807 8.925712 97.3719265
## 866 97 Jun 2017 10-29,99 54.46583 8.925712 42.5341737
## 867 157 Jun 2017 30-40,99 119.79167 8.925712 37.2083310
## 868 259 Jun 2017 41-54,99 211.22425 8.925712 47.7757467
## 869 202 Jun 2017 55-69,99 166.82538 8.925712 35.1746231
## 870 199 Jun 2017 70-249,99 141.66807 8.925712 57.3319265
## 871 73 Jul 2017 10-29,99 59.22583 8.925712 13.7741737
## 872 155 Jul 2017 30-40,99 124.55167 8.925712 30.4483310
## 873 288 Jul 2017 41-54,99 215.98425 8.925712 72.0157467
## 874 203 Jul 2017 55-69,99 171.58538 8.925712 31.4146231
## 875 218 Jul 2017 70-249,99 146.42807 8.925712 71.5719265
## 876 91 Aug 2017 10-29,99 66.93249 8.925712 24.0675070
## 877 188 Aug 2017 30-40,99 132.25834 8.925712 55.7416643
## 878 354 Aug 2017 41-54,99 223.69092 8.925712 130.3090800
## 879 247 Aug 2017 55-69,99 179.29204 8.925712 67.7079564
## 880 253 Aug 2017 70-249,99 154.13474 8.925712 98.8652598
## 881 86 Sep 2017 10-29,99 71.73249 8.925712 14.2675070
## 882 155 Sep 2017 30-40,99 137.05834 8.925712 17.9416643
## 883 306 Sep 2017 41-54,99 228.49092 8.925712 77.5090800
## 884 230 Sep 2017 55-69,99 184.09204 8.925712 45.9079564
## 885 237 Sep 2017 70-249,99 158.93474 8.925712 78.0652598
## 886 48 Oct 2017 10-29,99 75.53249 8.925712 -27.5324930
## 887 63 Oct 2017 30-40,99 140.85834 8.925712 -77.8583357
## 888 108 Oct 2017 41-54,99 232.29092 8.925712 -124.2909200
## 889 98 Oct 2017 55-69,99 187.89204 8.925712 -89.8920436
## 890 138 Oct 2017 70-249,99 162.73474 8.925712 -24.7347402
## .hat .sigma .cooksd .std.resid
## 1 0.02134301 62.52077 1.867599e-04 -0.38155192
## 2 0.02134301 62.52597 3.964297e-07 0.01757903
## 3 0.02134301 62.52544 1.966600e-05 0.12381403
## 4 0.02134301 62.51808 2.833382e-04 0.46996380
## 5 0.02134301 62.49468 1.121045e-03 -0.93480995
## 6 0.02134301 62.51350 4.473885e-04 -0.59054678
## 7 0.02134301 62.52502 3.469645e-05 0.16445777
## 8 0.02134301 62.52598 1.809204e-07 0.01187560
## 9 0.02134301 62.51306 4.628529e-04 0.60066647
## 10 0.02134301 62.52447 5.422396e-05 -0.20559261
## 11 0.02134301 62.51314 4.602242e-04 -0.59895834
## 12 0.02134301 62.51775 2.950367e-04 0.47956766
## 13 0.02134301 62.48237 1.561965e-03 1.10343697
## 14 0.02134301 62.40704 4.256961e-03 1.82163641
## 15 0.02134301 62.52435 5.875173e-05 -0.21400416
## 16 0.02134301 62.52227 1.332092e-04 -0.32223966
## 17 0.02134301 62.52366 8.330496e-05 0.25482810
## 18 0.02134301 62.46245 2.274792e-03 1.33162744
## 19 0.02134301 62.44007 3.075565e-03 1.54836863
## 20 0.02134301 62.52537 2.214910e-05 -0.13139835
## 21 0.02134301 62.52329 9.641174e-05 -0.27414280
## 22 0.02134301 62.49475 1.118604e-03 0.93379178
## 23 0.02134301 62.38338 5.102786e-03 1.99441504
## 24 0.02134301 62.28052 8.776169e-03 2.61555805
## 25 0.02134301 62.52392 7.402772e-05 0.24021995
## 26 0.02134301 62.52584 5.337131e-06 -0.06450090
## 27 0.02134301 62.46794 2.078382e-03 1.27284225
## 28 0.02134301 62.33069 6.985203e-03 2.33346552
## 29 0.02134301 62.15883 1.311382e-02 3.19724962
## 30 0.02134301 62.51259 4.798917e-04 0.61162257
## 31 0.02134301 62.52591 2.533814e-06 -0.04444257
## 32 0.02134301 62.48647 1.415042e-03 1.05025950
## 33 0.02134301 62.30482 7.908717e-03 2.48293243
## 34 0.02134301 62.29784 8.157851e-03 2.52173683
## 35 0.02134301 62.50941 5.935552e-04 0.68020912
## 36 0.02134301 62.49275 1.190217e-03 0.96321890
## 37 0.02134301 62.40787 4.227304e-03 1.81527988
## 38 0.02134301 62.08812 1.563057e-02 3.49059391
## 39 0.02134301 62.18970 1.201440e-02 3.06029220
## 40 0.02134301 62.49408 1.142641e-03 0.94377126
## 41 0.02134301 62.49991 9.338991e-04 0.85322161
## 42 0.02134301 62.40745 4.242385e-03 1.81851510
## 43 0.02134301 62.18325 1.224425e-02 3.08942731
## 44 0.02134301 62.12556 1.429830e-02 3.33852065
## 45 0.02134301 62.48065 1.623445e-03 1.12494327
## 46 0.02134301 62.49665 1.050652e-03 0.90498504
## 47 0.02134301 62.34042 6.637690e-03 2.27468034
## 48 0.02134301 62.04045 1.732572e-02 3.67500113
## 49 0.02134301 62.25271 9.768120e-03 2.75941725
## 50 0.02134301 62.44182 3.013164e-03 1.53258030
## 51 0.02187882 62.51267 4.892023e-04 0.60975182
## 52 0.02187882 62.45923 2.451456e-03 1.36496313
## 53 0.02187882 61.96100 2.066502e-02 3.96302459
## 54 0.02187882 62.06920 1.672219e-02 3.56496605
## 55 0.02187882 62.38517 5.167870e-03 1.98182206
## 56 0.02187882 62.51914 2.513678e-04 0.43708274
## 57 0.02187882 62.36070 6.064899e-03 2.14694370
## 58 0.02187882 62.18927 1.233840e-02 3.06223290
## 59 0.02187882 62.07199 1.662042e-02 3.55410200
## 60 0.02187882 62.37503 5.539594e-03 2.05186052
## 61 0.02033987 62.50720 6.404349e-04 0.72414511
## 62 0.02033987 62.45917 2.277527e-03 1.36558849
## 63 0.02033987 62.12736 1.355158e-02 3.33106475
## 64 0.02033987 62.30523 7.515270e-03 2.48062091
## 65 0.02033987 62.49493 1.058707e-03 0.93105647
## 66 0.02033987 62.52554 1.506466e-05 0.11106257
## 67 0.02033987 62.51781 2.786441e-04 0.47765355
## 68 0.02033987 62.47315 1.801074e-03 1.21437789
## 69 0.02033987 62.40526 4.113314e-03 1.83520280
## 70 0.02033987 62.45563 2.397915e-03 1.40121576
## 71 0.02033987 62.49519 1.049983e-03 0.92721253
## 72 0.02033987 62.51173 4.861588e-04 0.63092419
## 73 0.02033987 62.35109 5.956194e-03 2.20837352
## 74 0.02033987 62.43604 3.065399e-03 1.58427872
## 75 0.02033987 62.48745 1.313649e-03 1.03711716
## 76 0.02033987 62.52080 1.769636e-04 -0.38065376
## 77 0.02033987 62.52521 2.661248e-05 0.14761510
## 78 0.02033987 62.52396 6.896339e-05 0.23762790
## 79 0.02033987 62.49438 1.077519e-03 0.93929175
## 80 0.02033987 62.51684 3.118390e-04 0.50530471
## 81 0.02033987 62.52202 1.350890e-04 -0.33258154
## 82 0.02033987 62.52257 1.165071e-04 0.30886184
## 83 0.02033987 62.45724 2.343107e-03 1.38510973
## 84 0.02033987 62.49962 8.991254e-04 0.85802167
## 85 0.02033987 62.52003 2.031705e-04 0.40786684
## 86 0.02033987 62.52308 9.900899e-05 -0.28472489
## 87 0.02033987 62.52590 2.752808e-06 -0.04747622
## 88 0.02033987 62.42145 3.562110e-03 1.70781879
## 89 0.02033987 62.48006 1.565637e-03 1.13222736
## 90 0.02033987 62.46425 2.104260e-03 1.31261628
## 91 0.02033987 62.52087 1.743676e-04 -0.37785135
## 92 0.02033987 62.52549 1.702906e-05 0.11808194
## 93 0.02033987 62.50629 6.717388e-04 0.74163176
## 94 0.02033987 62.49419 1.083958e-03 0.94209417
## 95 0.02033987 62.52085 1.752117e-04 0.37876482
## 96 0.02033987 62.52063 1.827030e-04 0.38677726
## 97 0.02033987 62.48320 1.458741e-03 1.09289179
## 98 0.02033987 62.30311 7.587392e-03 2.49249546
## 99 0.02033987 62.45252 2.503982e-03 1.43187037
## 100 0.02033987 62.51046 5.293590e-04 0.65835977
## 101 0.02033987 62.52576 7.594213e-06 -0.07885505
## 102 0.02033987 62.47771 1.645644e-03 1.16079651
## 103 0.02033987 62.39470 4.472664e-03 1.91368863
## 104 0.02033987 62.41104 3.916658e-03 1.79079527
## 105 0.02033987 62.48773 1.304382e-03 1.03345246
## 106 0.02033987 62.52592 2.288321e-06 -0.04328591
## 107 0.02033987 62.45832 2.306380e-03 1.37421131
## 108 0.02033987 62.16694 1.220967e-02 3.16184190
## 109 0.02033987 62.20491 1.092183e-02 2.99044517
## 110 0.02033987 62.43580 3.073577e-03 1.58639083
## 111 0.02094212 62.52413 6.506895e-05 0.22740771
## 112 0.02094212 62.39379 4.639718e-03 1.92027777
## 113 0.02094212 62.16029 1.281144e-02 3.19092976
## 114 0.02094212 62.36577 5.622036e-03 2.11380575
## 115 0.02094212 62.42487 3.549926e-03 1.67968525
## 116 0.02094212 62.52596 8.533564e-07 -0.02604255
## 117 0.02094212 62.49860 9.619362e-04 0.87436226
## 118 0.02094212 62.31025 7.566752e-03 2.45229669
## 119 0.02094212 62.36741 5.564422e-03 2.10294690
## 120 0.02094212 62.41828 3.781115e-03 1.73351744
## 121 0.01950485 62.52255 1.122665e-04 0.30974266
## 122 0.01950485 62.47903 1.533701e-03 1.14484368
## 123 0.01950485 62.42198 3.395662e-03 1.70348431
## 124 0.01950485 62.46934 1.850174e-03 1.25742524
## 125 0.01950485 62.50073 8.252459e-04 0.83978394
## 126 0.01950485 62.52352 8.066435e-05 0.26255282
## 127 0.01950485 62.46164 2.101365e-03 1.34006738
## 128 0.01950485 62.36897 5.124327e-03 2.09263884
## 129 0.01950485 62.44349 2.693934e-03 1.51729256
## 130 0.01950485 62.49226 1.101838e-03 0.97036404
## 131 0.01950485 62.52568 1.002094e-05 0.09254013
## 132 0.01950485 62.50127 8.074419e-04 0.83067573
## 133 0.01950485 62.20864 1.034339e-02 2.97308481
## 134 0.01950485 62.36190 5.354716e-03 2.13916408
## 135 0.01950485 62.49817 9.085602e-04 0.88115585
## 136 0.01950485 62.52526 2.384406e-05 0.14274667
## 137 0.01950485 62.46073 2.131205e-03 1.34954844
## 138 0.01950485 62.31215 6.975274e-03 2.44149886
## 139 0.01950485 62.43706 2.903693e-03 1.57525633
## 140 0.01950485 62.51054 5.045286e-04 0.65662705
## 141 0.01950485 62.52577 7.059571e-06 0.07767210
## 142 0.01950485 62.49614 9.749311e-04 0.91277312
## 143 0.01950485 62.33698 6.166634e-03 2.29561978
## 144 0.01950485 62.41385 3.660869e-03 1.76875620
## 145 0.01950485 62.42744 3.217417e-03 1.65817204
## 146 0.01950485 62.52535 2.071967e-05 -0.13306607
## 147 0.01950485 62.51993 1.977994e-04 0.41113870
## 148 0.01950485 62.49558 9.932240e-04 0.92129663
## 149 0.01950485 62.51616 3.209571e-04 0.52372027
## 150 0.01950485 62.52241 1.169746e-04 0.31617070
## 151 0.01950485 62.52261 1.102565e-04 -0.30695738
## 152 0.01950485 62.52492 3.486172e-05 0.17260378
## 153 0.01950485 62.50767 5.983589e-04 0.71508351
## 154 0.01950485 62.51223 4.495590e-04 -0.61982519
## 155 0.01950485 62.52138 1.505677e-04 -0.35870859
## 156 0.01950485 62.52511 2.875856e-05 -0.15676873
## 157 0.01950485 62.51965 2.070168e-04 -0.42060908
## 158 0.01950485 62.52375 7.303613e-05 -0.24983010
## 159 0.01950485 62.52101 1.625173e-04 -0.37267112
## 160 0.01950485 62.52418 5.907181e-05 -0.22468083
## 161 0.01950485 62.51942 2.146285e-04 -0.42827189
## 162 0.01950485 62.50883 5.605331e-04 -0.69211224
## 163 0.01950485 62.52320 9.103465e-05 -0.27891973
## 164 0.01950485 62.52152 1.460433e-04 -0.35327804
## 165 0.01950485 62.49799 9.145293e-04 -0.88404566
## 166 0.01950485 62.52046 1.804719e-04 -0.39271790
## 167 0.01950485 62.52493 3.451013e-05 -0.17173118
## 168 0.01950485 62.52439 5.211875e-05 -0.21104394
## 169 0.01950485 62.52592 2.162505e-06 -0.04298871
## 170 0.01950485 62.52596 6.901563e-07 -0.02428564
## 171 0.02017356 62.51781 2.766182e-04 -0.47791230
## 172 0.02017356 62.51817 2.641456e-04 -0.46701360
## 173 0.02017356 62.52499 3.371405e-05 -0.16684503
## 174 0.02017356 62.52466 4.498633e-05 -0.19272946
## 175 0.02017356 62.50186 8.156964e-04 -0.82067666
## 176 0.02017356 62.49314 1.110571e-03 -0.95759297
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## 768 0.01887719 62.52263 1.061421e-04 0.30623966
## 769 0.01887719 62.51998 1.898993e-04 0.40961819
## 770 0.01887719 62.52312 9.058846e-05 0.28291369
## 771 0.02007748 62.52570 9.693278e-06 -0.08968112
## 772 0.02007748 62.51509 3.668068e-04 0.55167638
## 773 0.02007748 62.51338 4.240744e-04 0.59318026
## 774 0.02007748 62.52462 4.605828e-05 0.19548775
## 775 0.02007748 62.49637 9.965528e-04 0.90931810
## 776 0.02007748 62.51976 2.093393e-04 0.41676478
## 777 0.02007748 62.52596 7.517313e-07 -0.02497451
## 778 0.02007748 62.49967 8.854703e-04 0.85714180
## 779 0.02007748 62.50752 6.214950e-04 0.71809927
## 780 0.02007748 62.37586 5.046319e-03 2.04622333
## 781 0.01955529 62.51607 3.248213e-04 0.52617007
## 782 0.01955529 62.52459 4.584662e-05 0.19767766
## 783 0.01955529 62.52335 8.647883e-05 0.27149312
## 784 0.01955529 62.52555 1.417887e-05 -0.10993215
## 785 0.01955529 62.52572 8.787902e-06 0.08654590
## 786 0.01955529 62.51273 4.340946e-04 0.60826957
## 787 0.01955529 62.52479 3.920925e-05 0.18280925
## 788 0.01955529 62.49131 1.135743e-03 0.98388403
## 789 0.01955529 62.50595 6.562836e-04 0.74791062
## 790 0.01955529 62.52515 2.727980e-05 0.15248408
## 791 0.01955529 62.52008 1.933277e-04 0.40592987
## 792 0.01955529 62.51042 5.099009e-04 0.65924491
## 793 0.01955529 62.50920 5.498396e-04 0.68457641
## 794 0.01955529 62.51714 2.899058e-04 0.49708696
## 795 0.01955529 62.51033 5.129955e-04 0.66124238
## 796 0.01955529 62.52481 3.860505e-05 0.18139529
## 797 0.01955529 62.50079 8.253730e-04 0.83874328
## 798 0.01955529 62.50579 6.616207e-04 0.75094556
## 799 0.01955529 62.52412 6.123063e-05 -0.22844848
## 800 0.01955529 62.50350 7.364175e-04 0.79225680
## 801 0.01955529 62.52410 6.176775e-05 0.22944827
## 802 0.01955529 62.51707 2.920533e-04 0.49892463
## 803 0.01955529 62.50914 5.519185e-04 0.68586932
## 804 0.01955529 62.52192 1.330609e-04 0.33676669
## 805 0.01955529 62.46459 2.010312e-03 1.30898801
## 806 0.01955529 62.52218 1.245127e-04 0.32576973
## 807 0.01955529 62.52508 2.962020e-05 0.15889050
## 808 0.01955529 62.52377 7.266541e-05 0.24886728
## 809 0.01955529 62.50089 8.221835e-04 0.83712110
## 810 0.01955529 62.46159 2.108784e-03 1.34066419
## 811 0.01955529 62.52431 5.500283e-05 0.21651922
## 812 0.01955529 62.51313 4.211403e-04 0.59912481
## 813 0.01955529 62.49490 1.018070e-03 0.93152136
## 814 0.01955529 62.52595 1.179837e-06 -0.03171137
## 815 0.01955529 62.50515 6.825587e-04 0.76273545
## 816 0.01955529 62.52272 1.070526e-04 0.30206646
## 817 0.01955529 62.51074 4.992898e-04 0.65234941
## 818 0.01955529 62.48281 1.414159e-03 1.09787519
## 819 0.01955529 62.49630 9.723958e-04 0.91038574
## 820 0.01955529 62.48462 1.354685e-03 1.07454115
## 821 0.01955529 62.51871 2.383772e-04 0.45075059
## 822 0.01955529 62.51607 3.249707e-04 0.52629113
## 823 0.01955529 62.49755 9.314459e-04 0.89101032
## 824 0.01955529 62.52401 6.470623e-05 0.23484264
## 825 0.01955529 62.51981 2.022190e-04 0.41515937
## 826 0.01955529 62.52552 1.540724e-05 0.11459517
## 827 0.01955529 62.52527 2.354161e-05 0.14165176
## 828 0.01955529 62.49079 1.152720e-03 0.99121049
## 829 0.01955529 62.51772 2.708753e-04 0.48049468
## 830 0.01955529 62.50542 6.737172e-04 0.75777932
## 831 0.02082204 62.52502 3.384088e-05 -0.16448053
## 832 0.02082204 62.52278 1.120022e-04 0.29923131
## 833 0.02082204 62.50155 8.532412e-04 0.82590402
## 834 0.02082204 62.49285 1.156959e-03 0.96172871
## 835 0.02082204 62.50816 6.226394e-04 0.70552428
## 836 0.02082204 62.52502 3.375366e-05 0.16426843
## 837 0.02082204 62.49984 9.131033e-04 0.85438502
## 838 0.02082204 62.48951 1.273759e-03 1.00910706
## 839 0.02082204 62.43998 3.002218e-03 1.54922596
## 840 0.02082204 62.41674 3.812563e-03 1.74583106
## 841 0.02040151 62.50447 7.358417e-04 0.77501396
## 842 0.02040151 62.50200 8.202343e-04 0.81825053
## 843 0.02040151 62.48373 1.445170e-03 1.08611743
## 844 0.02040151 62.48932 1.253979e-03 1.01172510
## 845 0.02040151 62.42517 3.446028e-03 1.67716861
## 846 0.02040151 62.52103 1.696230e-04 0.37210000
## 847 0.02040151 62.52338 8.919073e-05 0.26982189
## 848 0.02040151 62.52320 9.535894e-05 0.27899604
## 849 0.02040151 62.50100 8.545005e-04 0.83516729
## 850 0.02040151 62.43636 3.063921e-03 1.58145229
## 851 0.02040151 62.51670 3.176540e-04 0.50920716
## 852 0.02040151 62.48862 1.277888e-03 1.02132434
## 853 0.02040151 62.41109 3.927079e-03 1.79040846
## 854 0.02040151 62.37449 5.176326e-03 2.05555036
## 855 0.02040151 62.43548 3.094066e-03 1.58921307
## 856 0.02040151 62.51478 3.834133e-04 0.55943667
## 857 0.02040151 62.52319 9.557183e-05 0.27930729
## 858 0.02040151 62.50959 5.606959e-04 0.67652057
## 859 0.02040151 62.52519 2.735011e-05 0.14941592
## 860 0.02040151 62.51676 3.157289e-04 0.50766178
## 861 0.02040151 62.51543 3.609978e-04 0.54283722
## 862 0.02040151 62.51300 4.443320e-04 0.60224208
## 863 0.02040151 62.51590 3.448724e-04 0.53057474
## 864 0.02040151 62.49425 1.085321e-03 0.94123132
## 865 0.02040151 62.43716 3.036417e-03 1.57433824
## 866 0.02040151 62.50905 5.793886e-04 0.68770516
## 867 0.02040151 62.51302 4.433782e-04 0.60159535
## 868 0.02040151 62.50461 7.309857e-04 0.77245247
## 869 0.02040151 62.51440 3.962350e-04 0.56871376
## 870 0.02040151 62.49521 1.052657e-03 0.92695962
## 871 0.02040151 62.52421 6.076102e-05 0.22270493
## 872 0.02040151 62.51731 2.969073e-04 0.49229766
## 873 0.02040151 62.47742 1.660921e-03 1.16437199
## 874 0.02040151 62.51675 3.160513e-04 0.50792096
## 875 0.02040151 62.47801 1.640512e-03 1.15719617
## 876 0.02040151 62.52056 1.855052e-04 0.38913060
## 877 0.02040151 62.49689 9.950703e-04 0.90124779
## 878 0.02040151 62.36682 5.438051e-03 2.10687593
## 879 0.02040151 62.48305 1.468160e-03 1.09472236
## 880 0.02040151 62.43442 3.130267e-03 1.59848290
## 881 0.02040151 62.52408 6.519137e-05 0.23068129
## 882 0.02040151 62.52297 1.030907e-04 0.29008616
## 883 0.02040151 62.46972 1.923973e-03 1.25318984
## 884 0.02040151 62.50625 6.749473e-04 0.74225348
## 885 0.02040151 62.46891 1.951684e-03 1.26218232
## 886 0.02040151 62.51889 2.427644e-04 -0.44515353
## 887 0.02040151 62.46921 1.941351e-03 -1.25883671
## 888 0.02040151 62.38120 4.947351e-03 -2.00957253
## 889 0.02040151 62.45029 2.587834e-03 -1.45340127
## 890 0.02040151 62.52026 1.959335e-04 -0.39991863predicted_trans2 %>%
ggplot(aes(factor(month, levels = month.abb), .resid, group = year)) +
geom_hline(yintercept = 0, colour = "white", size = 3) +
geom_line() +
facet_wrap(~ area)
For some apartement size classes, few years may have large influence on average number of transactions. We can look at the large cook’s distance.
predicted_trans2 %>%
arrange(desc(.cooksd)) %>%
dplyr::select(.cooksd, everything())## .cooksd transactions month year area .fitted .se.fit
## 1 2.066502e-02 530 Nov 2005 41-54,99 285.07407 9.243226
## 2 1.732572e-02 512 Oct 2005 41-54,99 284.81252 9.129342
## 3 1.672219e-02 461 Nov 2005 55-69,99 240.67519 9.243226
## 4 1.662042e-02 457 Dec 2005 55-69,99 237.34662 9.243226
## 5 1.563057e-02 492 Aug 2005 41-54,99 276.21252 9.129342
## 6 1.429830e-02 443 Sep 2005 55-69,99 236.61364 9.129342
## 7 1.355158e-02 447 Jan 2006 41-54,99 240.96905 8.912216
## 8 1.311382e-02 417 Jun 2005 55-69,99 219.34698 9.129342
## 9 1.281144e-02 478 Nov 2006 41-54,99 280.69727 9.043198
## 10 1.233840e-02 471 Dec 2005 41-54,99 281.74550 9.243226
## 11 1.224425e-02 472 Sep 2005 41-54,99 281.01252 9.129342
## 12 1.220967e-02 476 Oct 2006 41-54,99 280.43572 8.912216
## 13 1.201440e-02 421 Aug 2005 55-69,99 231.81364 9.129342
## 14 1.092183e-02 421 Oct 2006 55-69,99 236.03684 8.912216
## 15 1.034339e-02 457 Mar 2007 41-54,99 273.03225 8.727362
## 16 9.768120e-03 411 Oct 2005 55-69,99 240.41364 9.129342
## 17 8.776169e-03 398 May 2005 55-69,99 236.30698 9.129342
## 18 8.214655e-03 95 Mar 2009 41-54,99 264.27865 8.462559
## 19 8.157851e-03 380 Jul 2005 55-69,99 224.10698 9.129342
## 20 7.908717e-03 422 Jul 2005 41-54,99 268.50585 9.129342
## 21 7.748965e-03 113 Nov 2008 41-54,99 271.94367 8.742620
## 22 7.587392e-03 426 Aug 2006 41-54,99 271.83572 8.912216
## 23 7.566752e-03 429 Dec 2006 41-54,99 277.36870 9.043198
## 24 7.515270e-03 350 Jan 2006 55-69,99 196.57018 8.912216
## 25 7.265470e-03 104 May 2009 41-54,99 263.19865 8.462559
## 26 6.985203e-03 408 Jun 2005 41-54,99 263.74585 9.129342
## 27 6.975274e-03 420 Apr 2007 41-54,99 268.92559 8.727362
## 28 6.777415e-03 85 Feb 2009 41-54,99 238.75865 8.462559
## 29 6.637690e-03 334 Oct 2005 30-40,99 193.37994 9.129342
## 30 6.293861e-03 112 Apr 2009 41-54,99 260.17199 8.462559
## 31 6.265575e-03 80 Jan 2009 41-54,99 227.83865 8.462559
## 32 6.166634e-03 414 May 2007 41-54,99 271.95225 8.727362
## 33 6.130689e-03 100 Jun 2009 41-54,99 246.23865 8.462559
## 34 6.064899e-03 323 Dec 2005 30-40,99 190.31292 9.243226
## 35 5.956194e-03 414 Mar 2006 41-54,99 277.40905 8.912216
## 36 5.845747e-03 76 May 2009 55-69,99 218.79978 8.462559
## 37 5.756483e-03 117 Aug 2009 41-54,99 258.70532 8.462559
## 38 5.622036e-03 367 Nov 2006 55-69,99 236.29839 9.043198
## 39 5.564422e-03 363 Dec 2006 55-69,99 232.96982 9.043198
## 40 5.539594e-03 339 Dec 2005 70-249,99 212.18932 9.243226
## 41 5.438051e-03 354 Aug 2017 41-54,99 223.69092 8.925712
## 42 5.354716e-03 361 Mar 2007 55-69,99 228.63338 8.727362
## 43 5.176326e-03 312 Mar 2017 55-69,99 184.86538 8.925712
## 44 5.167870e-03 338 Nov 2005 70-249,99 215.51789 9.243226
## 45 5.124327e-03 377 Feb 2007 41-54,99 247.51225 8.727362
## 46 5.102786e-03 404 May 2005 41-54,99 280.70585 9.129342
## 47 5.073891e-03 140 Dec 2008 41-54,99 268.61510 8.742620
## 48 5.046319e-03 295 Dec 2015 70-249,99 168.42132 8.854546
## 49 5.046319e-03 295 Dec 2015 70-249,99 168.42132 8.854546
## 50 4.947351e-03 108 Oct 2017 41-54,99 232.29092 8.925712
## 51 4.910549e-03 89 Mar 2009 55-69,99 219.87978 8.462559
## 52 4.732753e-03 100 Dec 2008 55-69,99 224.21622 8.742620
## 53 4.639718e-03 308 Nov 2006 30-40,99 189.26469 9.043198
## 54 4.472664e-03 395 Sep 2006 41-54,99 276.63572 8.912216
## 55 4.256961e-03 350 Mar 2005 55-69,99 237.38698 9.129342
## 56 4.242385e-03 302 Sep 2005 30-40,99 189.57994 9.129342
## 57 4.227304e-03 297 Aug 2005 30-40,99 184.77994 9.129342
## 58 4.113314e-03 321 Feb 2006 55-69,99 207.49018 8.912216
## 59 3.927079e-03 340 Mar 2017 41-54,99 229.26425 8.925712
## 60 3.916658e-03 343 Sep 2006 55-69,99 232.23684 8.912216
## 61 3.839020e-03 79 Mar 2009 70-249,99 194.72247 8.462559
## 62 3.820286e-03 68 Jan 2009 55-69,99 183.43978 8.462559
## 63 3.812563e-03 272 Dec 2016 70-249,99 164.04452 9.017232
## 64 3.806828e-03 138 Aug 2010 41-54,99 254.32852 8.385924
## 65 3.781115e-03 315 Dec 2006 70-249,99 207.81252 9.043198
## 66 3.781092e-03 58 Mar 2009 30-40,99 172.84607 8.462559
## 67 3.723768e-03 67 Dec 2008 30-40,99 177.18252 8.742620
## 68 3.660869e-03 337 May 2007 55-69,99 227.55338 8.727362
## 69 3.637351e-03 113 Nov 2009 55-69,99 223.16799 8.645530
## 70 3.562110e-03 365 Jun 2006 41-54,99 259.36905 8.912216
## 71 3.549926e-03 315 Nov 2006 70-249,99 211.14109 9.043198
## 72 3.461239e-03 143 May 2011 41-54,99 254.44505 8.347999
## 73 3.446028e-03 227 Jan 2017 70-249,99 123.26807 8.925712
## 74 3.442491e-03 136 Jul 2010 41-54,99 246.62185 8.385924
## 75 3.399473e-03 153 Oct 2010 41-54,99 262.92852 8.385924
## 76 3.395662e-03 342 Jan 2007 41-54,99 236.59225 8.727362
## 77 3.377277e-03 109 Jan 2011 41-54,99 219.08505 8.347999
## 78 3.365747e-03 125 Feb 2010 41-54,99 234.38185 8.385924
## 79 3.319112e-03 159 Dec 2009 41-54,99 264.23830 8.645530
## 80 3.250859e-03 122 Feb 2011 41-54,99 230.00505 8.347999
## 81 3.225406e-03 125 Nov 2008 55-69,99 227.54479 8.742620
## 82 3.217417e-03 305 May 2007 70-249,99 202.39607 8.727362
## 83 3.215518e-03 100 Nov 2008 70-249,99 202.38749 8.742620
## 84 3.191050e-03 158 Sep 2009 41-54,99 263.50532 8.462559
## 85 3.182252e-03 89 Feb 2009 55-69,99 194.35978 8.462559
## 86 3.162376e-03 149 Mar 2011 41-54,99 255.52505 8.347999
## 87 3.150918e-03 97 Jun 2009 55-69,99 201.83978 8.462559
## 88 3.130267e-03 253 Aug 2017 70-249,99 154.13474 8.925712
## 89 3.097011e-03 146 Apr 2011 41-54,99 251.41839 8.347999
## 90 3.094066e-03 258 Mar 2017 70-249,99 159.70807 8.925712
## 91 3.075565e-03 329 Apr 2005 55-69,99 233.28031 9.129342
## 92 3.073577e-03 309 Oct 2006 70-249,99 210.87954 8.912216
## 93 3.065399e-03 331 Mar 2006 55-69,99 233.01018 8.912216
## 94 3.063921e-03 232 Feb 2017 70-249,99 134.18807 8.925712
## 95 3.036417e-03 256 May 2017 70-249,99 158.62807 8.925712
## 96 3.015783e-03 150 Dec 2012 41-54,99 251.10790 8.580193
## 97 3.013164e-03 310 Oct 2005 70-249,99 215.25634 9.129342
## 98 3.011282e-03 120 Jan 2010 41-54,99 223.46185 8.385924
## 99 3.002218e-03 285 Dec 2016 55-69,99 189.20182 9.017232
## 100 2.915046e-03 154 Apr 2010 41-54,99 255.79519 8.385924
## 101 2.903693e-03 322 Apr 2007 55-69,99 224.52671 8.727362
## 102 2.885317e-03 153 Sep 2011 41-54,99 254.75172 8.347999
## 103 2.843015e-03 118 Oct 2010 55-69,99 218.52964 8.385924
## 104 2.807618e-03 160 Mar 2010 41-54,99 259.90185 8.385924
## 105 2.771447e-03 163 Dec 2010 41-54,99 259.86150 8.585657
## 106 2.770378e-03 169 Oct 2009 41-54,99 267.30532 8.462559
## 107 2.693934e-03 297 Feb 2007 55-69,99 203.11338 8.727362
## 108 2.587834e-03 98 Oct 2017 55-69,99 187.89204 8.925712
## 109 2.582974e-03 163 May 2010 41-54,99 258.82185 8.385924
## 110 2.567944e-03 175 Nov 2009 41-54,99 267.56687 8.645530
## 111 2.567776e-03 99 May 2009 70-249,99 193.64247 8.462559
## 112 2.503982e-03 316 Aug 2006 55-69,99 227.43684 8.912216
## 113 2.495791e-03 121 Aug 2009 55-69,99 214.30644 8.462559
## 114 2.493988e-03 74 Aug 2009 30-40,99 167.27274 8.462559
## 115 2.473662e-03 91 Aug 2010 70-249,99 184.77234 8.385924
## 116 2.466966e-03 79 May 2009 30-40,99 171.76607 8.462559
## 117 2.451456e-03 278 Nov 2005 30-40,99 193.64149 9.243226
## 118 2.397915e-03 269 Feb 2006 70-249,99 182.33287 8.912216
## 119 2.343107e-03 362 May 2006 41-54,99 276.32905 8.912216
## 120 2.339167e-03 174 Aug 2008 41-54,99 263.08212 8.576865
## 121 2.314176e-03 120 Mar 2011 55-69,99 211.12618 8.347999
## 122 2.306380e-03 274 Oct 2006 30-40,99 189.00314 8.912216
## 123 2.295624e-03 94 Nov 2008 30-40,99 180.51109 8.742620
## 124 2.278344e-03 100 Aug 2009 70-249,99 189.14914 8.462559
## 125 2.277527e-03 234 Jan 2006 30-40,99 149.53647 8.912216
## 126 2.274792e-03 360 Apr 2005 41-54,99 277.67919 9.129342
## 127 2.271690e-03 113 Dec 2008 70-249,99 199.05892 8.742620
## 128 2.265004e-03 124 Oct 2011 55-69,99 214.15284 8.347999
## 129 2.187953e-03 97 Feb 2011 55-69,99 185.60618 8.347999
## 130 2.186114e-03 60 Feb 2009 30-40,99 147.32607 8.462559
## 131 2.179930e-03 82 Feb 2009 70-249,99 169.20247 8.462559
## 132 2.167282e-03 107 Sep 2009 70-249,99 193.94914 8.462559
## 133 2.160384e-03 122 May 2011 55-69,99 210.04618 8.347999
## 134 2.131205e-03 261 Apr 2007 30-40,99 177.49300 8.727362
## 135 2.125476e-03 133 Sep 2009 55-69,99 219.10644 8.462559
## 136 2.121249e-03 155 Jul 2011 41-54,99 242.24505 8.347999
## 137 2.110296e-03 120 Apr 2011 55-69,99 207.01951 8.347999
## 138 2.108784e-03 229 Jun 2016 70-249,99 146.04487 8.738638
## 139 2.107394e-03 83 Apr 2009 30-40,99 168.73940 8.462559
## 140 2.104260e-03 271 Jun 2006 70-249,99 189.81287 8.912216
## 141 2.101365e-03 239 Feb 2007 30-40,99 156.07967 8.727362
## 142 2.078382e-03 251 Jun 2005 30-40,99 172.31327 9.129342
## 143 2.064170e-03 188 Oct 2008 41-54,99 271.68212 8.576865
## 144 2.056472e-03 110 Aug 2008 70-249,99 193.52594 8.576865
## 145 2.010312e-03 244 May 2016 70-249,99 163.00487 8.738638
## 146 2.001320e-03 106 Mar 2010 70-249,99 190.34567 8.385924
## 147 1.998642e-03 90 Jan 2011 55-69,99 174.68618 8.347999
## 148 1.996261e-03 102 Apr 2010 70-249,99 186.23901 8.385924
## 149 1.958487e-03 139 Dec 2009 55-69,99 219.83942 8.645530
## 150 1.951684e-03 237 Sep 2017 70-249,99 158.93474 8.925712
## 151 1.941351e-03 63 Oct 2017 30-40,99 140.85834 8.925712
## 152 1.931524e-03 159 Jun 2010 41-54,99 241.86185 8.385924
## 153 1.923973e-03 306 Sep 2017 41-54,99 228.49092 8.925712
## 154 1.918972e-03 178 Nov 2011 41-54,99 258.81327 8.563781
## 155 1.914830e-03 133 Mar 2010 55-69,99 215.50298 8.385924
## 156 1.855051e-03 101 Jul 2009 70-249,99 181.44247 8.462559
## 157 1.850174e-03 270 Jan 2007 55-69,99 192.19338 8.727362
## 158 1.848570e-03 98 Jan 2010 55-69,99 179.06298 8.385924
## 159 1.834638e-03 171 Jul 2009 41-54,99 250.99865 8.462559
## 160 1.820164e-03 97 Jun 2009 70-249,99 176.68247 8.462559
## 161 1.806197e-03 179 Sep 2010 41-54,99 259.12852 8.385924
## 162 1.801074e-03 327 Feb 2006 41-54,99 251.88905 8.912216
## 163 1.777288e-03 94 Aug 2008 30-40,99 171.64954 8.576865
## 164 1.771759e-03 112 Apr 2009 70-249,99 190.61581 8.462559
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## 166 1.719576e-03 180 Oct 2011 41-54,99 258.55172 8.347999
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## 235 1.152720e-03 298 Oct 2016 41-54,99 236.66772 8.738638
## 236 1.142641e-03 265 Aug 2005 70-249,99 206.65634 9.129342
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## 246 1.083046e-03 190 Jun 2008 41-54,99 250.61545 8.576865
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## 250 1.050652e-03 184 Oct 2005 10-29,99 128.05409 9.129342
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## 259 1.017692e-03 192 Jul 2015 30-40,99 133.30527 8.585790
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## 355 6.149356e-04 182 Jun 2013 41-54,99 228.73145 8.389838
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## 430 4.240744e-04 278 Nov 2015 41-54,99 241.30607 8.854546
## 431 4.211403e-04 166 Jul 2016 30-40,99 128.92847 8.738638
## 432 4.157646e-04 146 Oct 2012 70-249,99 184.61874 8.349309
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## 447 3.683916e-04 111 Aug 2015 10-29,99 75.68609 8.585790
## 448 3.668068e-04 184 Nov 2015 30-40,99 149.87349 8.854546
## 449 3.668068e-04 184 Nov 2015 30-40,99 149.87349 8.854546
## 450 3.656151e-04 80 Jan 2015 10-29,99 44.81943 8.585790
## 451 3.656151e-04 80 Jan 2015 10-29,99 44.81943 8.585790
## 452 3.652284e-04 98 Feb 2012 30-40,99 134.19567 8.349309
## 453 3.635672e-04 131 Oct 2011 30-40,99 167.11914 8.347999
## 454 3.609978e-04 105 May 2017 10-29,99 71.42583 8.925712
## 455 3.580821e-04 206 May 2014 41-54,99 241.31465 8.469022
## 456 3.580821e-04 206 May 2014 41-54,99 241.31465 8.469022
## 457 3.571989e-04 195 Dec 2007 55-69,99 228.59302 8.875706
## 458 3.516546e-04 120 Mar 2013 30-40,99 155.33887 8.389838
## 459 3.448724e-04 261 May 2017 41-54,99 228.18425 8.925712
## 460 3.432749e-04 268 Apr 2015 41-54,99 233.91119 8.585790
## 461 3.432749e-04 268 Apr 2015 41-54,99 233.91119 8.585790
## 462 3.419335e-04 254 Jun 2015 41-54,99 219.97785 8.585790
## 463 3.419335e-04 254 Jun 2015 41-54,99 219.97785 8.585790
## 464 3.402823e-04 177 Jul 2008 55-69,99 210.97658 8.576865
## 465 3.371387e-04 152 Jul 2008 70-249,99 185.81927 8.576865
## 466 3.360742e-04 46 Jun 2011 10-29,99 80.72663 8.347999
## 467 3.345562e-04 210 Oct 2014 70-249,99 175.86514 8.469022
## 468 3.345562e-04 210 Oct 2014 70-249,99 175.86514 8.469022
## 469 3.284606e-04 72 Oct 2010 10-29,99 106.17009 8.385924
## 470 3.249707e-04 174 Sep 2016 30-40,99 141.43514 8.738638
## 471 3.248213e-04 73 Jan 2016 10-29,99 40.44263 8.738638
## 472 3.209571e-04 243 Jun 2007 55-69,99 210.59338 8.727362
## 473 3.188351e-04 147 Sep 2012 70-249,99 180.81874 8.349309
## 474 3.176540e-04 104 Mar 2017 10-29,99 72.50583 8.925712
## 475 3.170268e-04 64 Aug 2010 10-29,99 97.57009 8.385924
## 476 3.160513e-04 203 Jul 2017 55-69,99 171.58538 8.925712
## 477 3.157289e-04 187 Apr 2017 70-249,99 155.60141 8.925712
## 478 3.143341e-04 236 Mar 2008 41-54,99 268.65545 8.576865
## 479 3.124328e-04 175 Apr 2015 30-40,99 142.47860 8.585790
## 480 3.124328e-04 175 Apr 2015 30-40,99 142.47860 8.585790
## 481 3.122889e-04 113 Sep 2015 10-29,99 80.48609 8.585790
## 482 3.122889e-04 113 Sep 2015 10-29,99 80.48609 8.585790
## 483 3.121898e-04 49 Feb 2009 10-29,99 82.00023 8.462559
## 484 3.118390e-04 235 Apr 2006 70-249,99 203.74621 8.912216
## 485 3.067190e-04 214 Nov 2014 41-54,99 245.68287 8.726513
## 486 3.067190e-04 214 Nov 2014 41-54,99 245.68287 8.726513
## 487 3.033621e-04 65 Sep 2011 10-29,99 97.99329 8.347999
## 488 3.022087e-04 122 Sep 2013 10-29,99 89.23969 8.389838
## 489 2.969073e-04 155 Jul 2017 30-40,99 124.55167 8.925712
## 490 2.960901e-04 86 Jan 2013 10-29,99 53.57303 8.389838
## 491 2.958135e-04 213 Aug 2012 41-54,99 245.57492 8.349309
## 492 2.950367e-04 220 Mar 2005 30-40,99 190.35327 9.129342
## 493 2.920533e-04 172 May 2016 30-40,99 141.12847 8.738638
## 494 2.910590e-04 136 Jul 2012 70-249,99 168.31207 8.349309
## 495 2.899058e-04 220 Mar 2016 55-69,99 189.24218 8.738638
## 496 2.875076e-04 104 Jul 2014 10-29,99 72.35623 8.469022
## 497 2.875076e-04 104 Jul 2014 10-29,99 72.35623 8.469022
## 498 2.871526e-04 111 Feb 2010 30-40,99 142.94927 8.385924
## 499 2.833382e-04 230 Jan 2005 55-69,99 200.94698 9.129342
## 500 2.790008e-04 127 May 2012 30-40,99 158.63567 8.349309
## 501 2.786441e-04 190 Feb 2006 30-40,99 160.45647 8.912216
## 502 2.766182e-04 90 Nov 2007 10-29,99 119.56204 8.875706
## 503 2.710468e-04 76 Aug 2008 10-29,99 106.32369 8.576865
## 504 2.709526e-04 170 Aug 2012 55-69,99 201.17604 8.349309
## 505 2.708753e-04 222 Oct 2016 55-69,99 192.26884 8.738638
## 506 2.687214e-04 115 Jun 2011 30-40,99 146.05247 8.347999
## 507 2.655484e-04 268 Mar 2015 41-54,99 238.01785 8.585790
## 508 2.655484e-04 268 Mar 2015 41-54,99 238.01785 8.585790
## 509 2.641456e-04 156 Nov 2007 30-40,99 184.88789 8.875706
## 510 2.620569e-04 158 Jan 2008 55-69,99 187.81658 8.576865
## 511 2.597612e-04 172 Mar 2013 55-69,99 202.37258 8.389838
## 512 2.555924e-04 176 Mar 2015 30-40,99 146.58527 8.585790
## 513 2.555924e-04 176 Mar 2015 30-40,99 146.58527 8.585790
## 514 2.513678e-04 152 Dec 2005 10-29,99 124.98707 9.243226
## 515 2.488820e-04 189 Jul 2014 70-249,99 159.55847 8.469022
## 516 2.488820e-04 189 Jul 2014 70-249,99 159.55847 8.469022
## 517 2.460555e-04 156 Nov 2012 70-249,99 184.88029 8.580193
## 518 2.427644e-04 48 Oct 2017 10-29,99 75.53249 8.925712
## 519 2.422289e-04 235 Jan 2014 41-54,99 205.95465 8.469022
## 520 2.422289e-04 235 Jan 2014 41-54,99 205.95465 8.469022
## 521 2.383772e-04 104 Sep 2016 10-29,99 76.10929 8.738638
## 522 2.383755e-04 44 Feb 2011 10-29,99 73.24663 8.347999
## 523 2.382754e-04 56 Jun 2010 10-29,99 85.10343 8.385924
## 524 2.362020e-04 204 Jun 2012 41-54,99 233.10825 8.349309
## 525 2.359546e-04 253 Jul 2015 41-54,99 224.73785 8.585790
## 526 2.359546e-04 253 Jul 2015 41-54,99 224.73785 8.585790
## 527 2.326269e-04 265 May 2015 41-54,99 236.93785 8.585790
## 528 2.326269e-04 265 May 2015 41-54,99 236.93785 8.585790
## 529 2.246864e-04 66 Mar 2012 10-29,99 94.38983 8.349309
## 530 2.239583e-04 278 Oct 2013 41-54,99 249.79812 8.389838
## 531 2.196850e-04 128 Feb 2012 70-249,99 156.07207 8.349309
## 532 2.196252e-04 222 May 2012 41-54,99 250.06825 8.349309
## 533 2.195271e-04 83 Feb 2015 10-29,99 55.73943 8.585790
## 534 2.195271e-04 83 Feb 2015 10-29,99 55.73943 8.585790
## 535 2.159161e-04 165 Aug 2014 55-69,99 192.42244 8.469022
## 536 2.159161e-04 165 Aug 2014 55-69,99 192.42244 8.469022
## 537 2.146285e-04 89 Sep 2007 10-29,99 115.50049 8.727362
## 538 2.110472e-04 131 Aug 2011 30-40,99 158.51914 8.347999
## 539 2.093558e-04 104 Jul 2013 10-29,99 76.73303 8.389838
## 540 2.093393e-04 107 Dec 2015 10-29,99 81.21907 8.854546
## 541 2.093393e-04 107 Dec 2015 10-29,99 81.21907 8.854546
## 542 2.089671e-04 228 Oct 2014 55-69,99 201.02244 8.469022
## 543 2.089671e-04 228 Oct 2014 55-69,99 201.02244 8.469022
## 544 2.070168e-04 150 Aug 2007 30-40,99 176.02634 8.727362
## 545 2.061130e-04 158 Sep 2011 70-249,99 185.19554 8.347999
## 546 2.048207e-04 68 Dec 2012 10-29,99 94.34947 8.580193
## 547 2.031705e-04 232 May 2006 70-249,99 206.77287 8.912216
## 548 2.022190e-04 189 Sep 2016 70-249,99 163.31154 8.738638
## 549 1.997924e-04 268 Sep 2014 41-54,99 241.62132 8.469022
## 550 1.997924e-04 268 Sep 2014 41-54,99 241.62132 8.469022
## 551 1.994294e-04 138 Dec 2011 30-40,99 164.05211 8.563781
## 552 1.977994e-04 189 Jun 2007 30-40,99 163.55967 8.727362
## 553 1.964994e-04 124 Jun 2010 30-40,99 150.42927 8.385924
## 554 1.960626e-04 82 Apr 2008 10-29,99 107.79036 8.576865
## 555 1.959335e-04 138 Oct 2017 70-249,99 162.73474 8.925712
## 556 1.956204e-04 76 Sep 2010 10-29,99 102.37009 8.385924
## 557 1.933277e-04 102 Mar 2016 10-29,99 76.88263 8.738638
## 558 1.924069e-04 239 Apr 2008 41-54,99 264.54879 8.576865
## 559 1.898993e-04 222 Oct 2015 55-69,99 196.64564 8.585790
## 560 1.898993e-04 222 Oct 2015 55-69,99 196.64564 8.585790
## 561 1.867599e-04 65 Jan 2005 10-29,99 88.58743 9.129342
## 562 1.858544e-04 41 Jan 2010 10-29,99 66.70343 8.385924
## 563 1.855052e-04 91 Aug 2017 10-29,99 66.93249 8.925712
## 564 1.827030e-04 139 Aug 2006 10-29,99 115.07729 8.912216
## 565 1.804719e-04 95 Oct 2007 10-29,99 119.30049 8.727362
## 566 1.796156e-04 179 Oct 2014 30-40,99 153.98874 8.469022
## 567 1.796156e-04 179 Oct 2014 30-40,99 153.98874 8.469022
## 568 1.775237e-04 148 Apr 2013 70-249,99 173.10861 8.389838
## 569 1.769636e-04 93 Apr 2006 10-29,99 116.54396 8.912216
## 570 1.752117e-04 218 Jul 2006 70-249,99 194.57287 8.912216
## 571 1.743676e-04 84 Jul 2006 10-29,99 107.37063 8.912216
## 572 1.715573e-04 109 May 2014 10-29,99 84.55623 8.469022
## 573 1.715573e-04 109 May 2014 10-29,99 84.55623 8.469022
## 574 1.696230e-04 70 Feb 2017 10-29,99 46.98583 8.925712
## 575 1.675872e-04 179 Jul 2015 70-249,99 155.18167 8.585790
## 576 1.675872e-04 179 Jul 2015 70-249,99 155.18167 8.585790
## 577 1.631173e-04 69 Aug 2011 10-29,99 93.19329 8.347999
## 578 1.629226e-04 230 Oct 2012 41-54,99 254.17492 8.349309
## 579 1.625173e-04 200 Aug 2007 55-69,99 223.06004 8.727362
## 580 1.601978e-04 66 Jul 2010 10-29,99 89.86343 8.385924
## 581 1.591703e-04 117 Jan 2013 70-249,99 140.77527 8.389838
## 582 1.577681e-04 78 Oct 2011 10-29,99 101.79329 8.347999
## 583 1.575907e-04 186 Oct 2012 55-69,99 209.77604 8.349309
## 584 1.562629e-04 118 Jun 2012 30-40,99 141.67567 8.349309
## 585 1.530019e-04 118 Jan 2008 30-40,99 140.78287 8.576865
## 586 1.517605e-04 154 Mar 2013 70-249,99 177.21527 8.389838
## 587 1.505677e-04 168 Jul 2007 70-249,99 190.19607 8.727362
## 588 1.501744e-04 109 Apr 2013 10-29,99 85.90636 8.389838
## 589 1.481590e-04 162 Jul 2014 55-69,99 184.71578 8.469022
## 590 1.481590e-04 162 Jul 2014 55-69,99 184.71578 8.469022
## 591 1.475995e-04 64 Feb 2008 10-29,99 86.37703 8.576865
## 592 1.460433e-04 206 Sep 2007 55-69,99 227.86004 8.727362
## 593 1.438325e-04 228 Oct 2013 55-69,99 205.39924 8.389838
## 594 1.418182e-04 154 Sep 2013 70-249,99 176.44194 8.389838
## 595 1.389157e-04 176 Mar 2014 55-69,99 197.99578 8.469022
## 596 1.389157e-04 176 Mar 2014 55-69,99 197.99578 8.469022
## 597 1.364842e-04 167 May 2015 30-40,99 145.50527 8.585790
## 598 1.364842e-04 167 May 2015 30-40,99 145.50527 8.585790
## 599 1.363948e-04 211 Apr 2015 55-69,99 189.51231 8.585790
## 600 1.363948e-04 211 Apr 2015 55-69,99 189.51231 8.585790
## 601 1.350890e-04 99 May 2006 10-29,99 119.57063 8.912216
## 602 1.332092e-04 101 Apr 2005 10-29,99 120.92076 9.129342
## 603 1.330609e-04 209 May 2016 55-69,99 188.16218 8.738638
## 604 1.317544e-04 224 Oct 2014 41-54,99 245.42132 8.469022
## 605 1.317544e-04 224 Oct 2014 41-54,99 245.42132 8.469022
## 606 1.315346e-04 56 Feb 2010 10-29,99 77.62343 8.385924
## 607 1.310672e-04 76 May 2011 10-29,99 97.68663 8.347999
## 608 1.284776e-04 131 Jan 2015 30-40,99 110.14527 8.585790
## 609 1.284776e-04 131 Jan 2015 30-40,99 110.14527 8.585790
## 610 1.245127e-04 79 Jun 2016 10-29,99 58.84263 8.738638
## 611 1.237760e-04 156 Nov 2014 70-249,99 176.12669 8.726513
## 612 1.237760e-04 156 Nov 2014 70-249,99 176.12669 8.726513
## 613 1.169746e-04 205 Jun 2007 70-249,99 185.43607 8.727362
## 614 1.165071e-04 204 May 2006 30-40,99 184.89647 8.912216
## 615 1.161710e-04 209 Jul 2014 41-54,99 229.11465 8.469022
## 616 1.161710e-04 209 Jul 2014 41-54,99 229.11465 8.469022
## 617 1.122665e-04 99 Jan 2007 10-29,99 79.83383 8.727362
## 618 1.120022e-04 164 Nov 2016 30-40,99 145.49669 9.017232
## 619 1.111850e-04 108 Nov 2014 10-29,99 88.92444 8.726513
## 620 1.111850e-04 108 Nov 2014 10-29,99 88.92444 8.726513
## 621 1.102565e-04 84 Jul 2007 10-29,99 102.99383 8.727362
## 622 1.070526e-04 90 Aug 2016 10-29,99 71.30929 8.738638
## 623 1.069188e-04 191 Nov 2012 55-69,99 210.03759 8.580193
## 624 1.061421e-04 260 Oct 2015 41-54,99 241.04452 8.585790
## 625 1.061421e-04 260 Oct 2015 41-54,99 241.04452 8.585790
## 626 1.048757e-04 118 Jun 2013 30-40,99 137.29887 8.389838
## 627 1.043610e-04 202 Feb 2013 41-54,99 221.25145 8.389838
## 628 1.030907e-04 155 Sep 2017 30-40,99 137.05834 8.925712
## 629 9.900899e-05 85 Jun 2006 10-29,99 102.61063 8.912216
## 630 9.803462e-05 133 Jan 2014 30-40,99 114.52207 8.469022
## 631 9.803462e-05 133 Jan 2014 30-40,99 114.52207 8.469022
## 632 9.785731e-05 153 Aug 2013 70-249,99 171.64194 8.389838
## 633 9.762412e-05 139 Jan 2015 55-69,99 157.17898 8.585790
## 634 9.762412e-05 139 Jan 2015 55-69,99 157.17898 8.585790
## 635 9.716525e-05 187 May 2012 55-69,99 205.66938 8.349309
## 636 9.656113e-05 181 Mar 2008 70-249,99 199.09927 8.576865
## 637 9.641174e-05 107 May 2005 10-29,99 123.94743 9.129342
## 638 9.613480e-05 163 Jun 2008 70-249,99 181.05927 8.576865
## 639 9.557183e-05 151 Apr 2017 30-40,99 133.72500 8.925712
## 640 9.535894e-05 221 Feb 2017 41-54,99 203.74425 8.925712
## 641 9.359983e-05 44 Jan 2011 10-29,99 62.32663 8.347999
## 642 9.272988e-05 181 Feb 2008 55-69,99 198.73658 8.576865
## 643 9.237775e-05 134 Feb 2008 30-40,99 151.70287 8.576865
## 644 9.103465e-05 255 Sep 2007 41-54,99 272.25892 8.727362
## 645 9.058846e-05 189 Oct 2015 70-249,99 171.48834 8.585790
## 646 9.058846e-05 189 Oct 2015 70-249,99 171.48834 8.585790
## 647 8.919073e-05 129 Feb 2017 30-40,99 112.31167 8.925712
## 648 8.647883e-05 214 Jan 2016 41-54,99 197.20105 8.738638
## 649 8.415830e-05 233 Sep 2012 41-54,99 250.37492 8.349309
## 650 8.376103e-05 77 Jun 2008 10-29,99 93.85703 8.576865
## 651 8.371115e-05 163 Oct 2013 70-249,99 180.24194 8.389838
## 652 8.330496e-05 202 Apr 2005 30-40,99 186.24660 9.129342
## 653 8.220562e-05 82 Dec 2011 10-29,99 98.72627 8.563781
## 654 8.150311e-05 73 Mar 2013 10-29,99 90.01303 8.389838
## 655 8.066435e-05 107 Feb 2007 10-29,99 90.75383 8.727362
## 656 7.637587e-05 147 Jun 2012 70-249,99 163.55207 8.349309
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## 658 7.596060e-05 151 Aug 2014 70-249,99 167.26514 8.469022
## 659 7.500802e-05 137 Feb 2015 30-40,99 121.06527 8.585790
## 660 7.500802e-05 137 Feb 2015 30-40,99 121.06527 8.585790
## 661 7.417166e-05 177 Sep 2015 55-69,99 192.84564 8.585790
## 662 7.417166e-05 177 Sep 2015 55-69,99 192.84564 8.585790
## 663 7.415664e-05 77 May 2012 10-29,99 93.30983 8.349309
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## 665 7.303613e-05 252 Aug 2007 41-54,99 267.45892 8.727362
## 666 7.266541e-05 231 Jun 2016 41-54,99 215.60105 8.738638
## 667 7.168585e-05 186 Jan 2015 41-54,99 201.57785 8.585790
## 668 7.168585e-05 186 Jan 2015 41-54,99 201.57785 8.585790
## 669 7.154421e-05 158 Feb 2008 70-249,99 173.57927 8.576865
## 670 6.896339e-05 288 Apr 2006 41-54,99 273.30239 8.912216
## 671 6.799526e-05 130 Aug 2014 30-40,99 145.38874 8.469022
## 672 6.799526e-05 130 Aug 2014 30-40,99 145.38874 8.469022
## 673 6.658368e-05 79 Jul 2009 10-29,99 94.24023 8.462559
## 674 6.578979e-05 100 Sep 2014 10-29,99 84.86289 8.469022
## 675 6.578979e-05 100 Sep 2014 10-29,99 84.86289 8.469022
## 676 6.554084e-05 257 Dec 2014 41-54,99 242.35430 8.726513
## 677 6.554084e-05 257 Dec 2014 41-54,99 242.35430 8.726513
## 678 6.519137e-05 86 Sep 2017 10-29,99 71.73249 8.925712
## 679 6.506895e-05 138 Nov 2006 10-29,99 123.93884 9.043198
## 680 6.470623e-05 203 Sep 2016 55-69,99 188.46884 8.738638
## 681 6.360620e-05 84 Apr 2010 10-29,99 99.03676 8.385924
## 682 6.349606e-05 195 Jul 2015 55-69,99 180.33898 8.585790
## 683 6.349606e-05 195 Jul 2015 55-69,99 180.33898 8.585790
## 684 6.188925e-05 162 Feb 2014 70-249,99 147.31847 8.469022
## 685 6.188925e-05 162 Feb 2014 70-249,99 147.31847 8.469022
## 686 6.176775e-05 90 May 2016 10-29,99 75.80263 8.738638
## 687 6.123063e-05 171 Apr 2016 55-69,99 185.13551 8.738638
## 688 6.111142e-05 141 Dec 2013 30-40,99 155.29851 8.634675
## 689 6.076102e-05 73 Jul 2017 10-29,99 59.22583 8.925712
## 690 5.926041e-05 79 Feb 2013 10-29,99 64.49303 8.389838
## 691 5.907181e-05 184 Aug 2007 70-249,99 197.90274 8.727362
## 692 5.875173e-05 199 Mar 2005 70-249,99 212.22967 9.129342
## 693 5.687219e-05 76 Apr 2012 10-29,99 90.28316 8.349309
## 694 5.503193e-05 72 Jan 2012 10-29,99 57.94983 8.349309
## 695 5.500283e-05 77 Jul 2016 10-29,99 63.60263 8.738638
## 696 5.472768e-05 156 Jul 2013 30-40,99 142.05887 8.389838
## 697 5.435172e-05 158 May 2014 70-249,99 171.75847 8.469022
## 698 5.435172e-05 158 May 2014 70-249,99 171.75847 8.469022
## 699 5.422396e-05 174 Feb 2005 70-249,99 186.70967 9.129342
## 700 5.419041e-05 145 Sep 2012 30-40,99 158.94234 8.349309
## 701 5.381757e-05 173 Jun 2013 70-249,99 159.17527 8.389838
## 702 5.329206e-05 93 Nov 2010 10-29,99 106.43164 8.585657
## 703 5.211875e-05 263 Oct 2007 41-54,99 276.05892 8.727362
## 704 4.916619e-05 181 Feb 2015 55-69,99 168.09898 8.585790
## 705 4.916619e-05 181 Feb 2015 55-69,99 168.09898 8.585790
## 706 4.833131e-05 132 Jan 2013 30-40,99 118.89887 8.389838
## 707 4.764793e-05 137 May 2014 30-40,99 149.88207 8.469022
## 708 4.764793e-05 137 May 2014 30-40,99 149.88207 8.469022
## 709 4.729787e-05 106 Oct 2013 10-29,99 93.03969 8.389838
## 710 4.605828e-05 209 Nov 2015 55-69,99 196.90719 8.854546
## 711 4.605828e-05 209 Nov 2015 55-69,99 196.90719 8.854546
## 712 4.584662e-05 118 Jan 2016 30-40,99 105.76847 8.738638
## 713 4.562725e-05 242 Nov 2012 41-54,99 254.43647 8.580193
## 714 4.526364e-05 150 Oct 2012 30-40,99 162.74234 8.349309
## 715 4.498633e-05 220 Nov 2007 55-69,99 231.92159 8.875706
## 716 4.430703e-05 165 Dec 2013 70-249,99 177.17492 8.634675
## 717 4.295288e-05 155 Feb 2015 70-249,99 142.94167 8.585790
## 718 4.295288e-05 155 Feb 2015 70-249,99 142.94167 8.585790
## 719 4.204336e-05 152 Jul 2008 30-40,99 163.94287 8.576865
## 720 4.082244e-05 249 Sep 2015 41-54,99 237.24452 8.585790
## 721 4.082244e-05 249 Sep 2015 41-54,99 237.24452 8.585790
## 722 4.054913e-05 72 Feb 2014 10-29,99 60.11623 8.469022
## 723 4.054913e-05 72 Feb 2014 10-29,99 60.11623 8.469022
## 724 3.955821e-05 165 Feb 2013 55-69,99 176.85258 8.389838
## 725 3.920925e-05 128 Feb 2016 30-40,99 116.68847 8.738638
## 726 3.866197e-05 170 Nov 2013 30-40,99 158.62709 8.634675
## 727 3.860505e-05 84 Apr 2016 10-29,99 72.77596 8.738638
## 728 3.645703e-05 180 Apr 2014 70-249,99 168.73181 8.469022
## 729 3.645703e-05 180 Apr 2014 70-249,99 168.73181 8.469022
## 730 3.572088e-05 152 Nov 2012 30-40,99 163.00389 8.580193
## 731 3.566166e-05 158 Apr 2014 30-40,99 146.85540 8.469022
## 732 3.566166e-05 158 Apr 2014 30-40,99 146.85540 8.469022
## 733 3.493240e-05 92 Mar 2010 10-29,99 103.14343 8.385924
## 734 3.486642e-05 100 Aug 2012 10-29,99 88.81649 8.349309
## 735 3.486172e-05 179 Jul 2007 30-40,99 168.31967 8.727362
## 736 3.469645e-05 175 Feb 2005 30-40,99 164.83327 9.129342
## 737 3.451013e-05 174 Oct 2007 30-40,99 184.62634 8.727362
## 738 3.433201e-05 183 Sep 2014 70-249,99 172.06514 8.469022
## 739 3.433201e-05 183 Sep 2014 70-249,99 172.06514 8.469022
## 740 3.425174e-05 122 Jun 2014 30-40,99 132.92207 8.469022
## 741 3.425174e-05 122 Jun 2014 30-40,99 132.92207 8.469022
## 742 3.407793e-05 92 Mar 2015 10-29,99 81.25943 8.585790
## 743 3.407793e-05 92 Mar 2015 10-29,99 81.25943 8.585790
## 744 3.404533e-05 183 Apr 2014 55-69,99 193.88911 8.469022
## 745 3.404533e-05 183 Apr 2014 55-69,99 193.88911 8.469022
## 746 3.384661e-05 165 Aug 2012 70-249,99 176.01874 8.349309
## 747 3.384088e-05 70 Nov 2016 10-29,99 80.17084 9.017232
## 748 3.375366e-05 87 Dec 2016 10-29,99 76.84227 9.017232
## 749 3.371405e-05 266 Nov 2007 41-54,99 276.32047 8.875706
## 750 3.365551e-05 155 Jan 2013 55-69,99 165.93258 8.389838
## 751 3.229405e-05 253 Mar 2014 41-54,99 242.39465 8.469022
## 752 3.229405e-05 253 Mar 2014 41-54,99 242.39465 8.469022
## 753 3.228821e-05 139 Jun 2015 30-40,99 128.54527 8.585790
## 754 3.228821e-05 139 Jun 2015 30-40,99 128.54527 8.585790
## 755 3.100880e-05 214 Mar 2008 55-69,99 224.25658 8.576865
## 756 3.036413e-05 157 May 2010 30-40,99 167.38927 8.385924
## 757 2.983041e-05 191 May 2013 55-69,99 201.29258 8.389838
## 758 2.967604e-05 188 Apr 2013 55-69,99 198.26591 8.389838
## 759 2.962020e-05 134 Jun 2016 30-40,99 124.16847 8.738638
## 760 2.893377e-05 113 Dec 2010 10-29,99 103.10307 8.585657
## 761 2.875856e-05 101 Aug 2007 10-29,99 110.70049 8.727362
## 762 2.868238e-05 179 Jul 2013 55-69,99 189.09258 8.389838
## 763 2.735011e-05 190 Apr 2017 55-69,99 180.75871 8.925712
## 764 2.727980e-05 148 Feb 2016 70-249,99 138.56487 8.738638
## 765 2.661248e-05 191 Apr 2006 30-40,99 181.86980 8.912216
## 766 2.594687e-05 192 Sep 2013 55-69,99 201.59924 8.389838
## 767 2.452524e-05 172 Aug 2015 70-249,99 162.88834 8.585790
## 768 2.452524e-05 172 Aug 2015 70-249,99 162.88834 8.585790
## 769 2.400058e-05 142 Apr 2013 30-40,99 151.23220 8.389838
## 770 2.384406e-05 121 Apr 2007 10-29,99 112.16716 8.727362
## 771 2.382370e-05 232 Aug 2013 41-54,99 241.19812 8.389838
## 772 2.354161e-05 154 Oct 2016 30-40,99 145.23514 8.738638
## 773 2.214910e-05 200 Apr 2005 70-249,99 208.12301 9.129342
## 774 2.180227e-05 188 Aug 2013 55-69,99 196.79924 8.389838
## 775 2.164309e-05 129 Jul 2014 30-40,99 137.68207 8.469022
## 776 2.164309e-05 129 Jul 2014 30-40,99 137.68207 8.469022
## 777 2.071967e-05 90 Jun 2007 10-29,99 98.23383 8.727362
## 778 1.966600e-05 253 Jan 2005 41-54,99 245.34585 9.129342
## 779 1.917477e-05 143 Dec 2014 30-40,99 150.92171 8.726513
## 780 1.917477e-05 143 Dec 2014 30-40,99 150.92171 8.726513
## 781 1.702906e-05 180 Jul 2006 30-40,99 172.69647 8.912216
## 782 1.614012e-05 148 Apr 2012 30-40,99 155.60900 8.349309
## 783 1.540724e-05 87 Oct 2016 10-29,99 79.90929 8.738638
## 784 1.506466e-05 102 Feb 2006 10-29,99 95.13063 8.912216
## 785 1.492714e-05 166 Apr 2008 30-40,99 173.11620 8.576865
## 786 1.489093e-05 162 Jun 2014 70-249,99 154.79847 8.469022
## 787 1.489093e-05 162 Jun 2014 70-249,99 154.79847 8.469022
## 788 1.442554e-05 148 Aug 2015 30-40,99 141.01194 8.585790
## 789 1.442554e-05 148 Aug 2015 30-40,99 141.01194 8.585790
## 790 1.417887e-05 146 Jan 2016 55-69,99 152.80218 8.738638
## 791 1.374232e-05 87 May 2015 10-29,99 80.17943 8.585790
## 792 1.374232e-05 87 May 2015 10-29,99 80.17943 8.585790
## 793 1.329340e-05 79 Dec 2014 10-29,99 85.59587 8.726513
## 794 1.329340e-05 79 Dec 2014 10-29,99 85.59587 8.726513
## 795 1.262257e-05 145 Feb 2013 70-249,99 151.69527 8.389838
## 796 1.138834e-05 158 Apr 2010 30-40,99 164.36260 8.385924
## 797 1.109618e-05 237 Feb 2008 41-54,99 243.13545 8.576865
## 798 1.075838e-05 136 Feb 2013 30-40,99 129.81887 8.389838
## 799 1.054779e-05 256 Nov 2013 41-54,99 250.05967 8.634675
## 800 1.046765e-05 157 Mar 2014 30-40,99 150.96207 8.469022
## 801 1.046765e-05 157 Mar 2014 30-40,99 150.96207 8.469022
## 802 1.002094e-05 122 Mar 2007 10-29,99 116.27383 8.727362
## 803 9.693278e-06 79 Nov 2015 10-29,99 84.54764 8.854546
## 804 9.693278e-06 79 Nov 2015 10-29,99 84.54764 8.854546
## 805 9.281238e-06 160 May 2013 30-40,99 154.25887 8.389838
## 806 8.787902e-06 133 Jan 2016 70-249,99 127.64487 8.738638
## 807 8.553580e-06 199 Mar 2015 55-69,99 193.61898 8.585790
## 808 8.553580e-06 199 Mar 2015 55-69,99 193.61898 8.585790
## 809 8.491524e-06 228 Jul 2013 41-54,99 233.49145 8.389838
## 810 8.400324e-06 88 Nov 2013 10-29,99 93.30124 8.634675
## 811 8.316192e-06 160 Sep 2013 30-40,99 154.56554 8.389838
## 812 8.254444e-06 79 Oct 2015 10-29,99 84.28609 8.585790
## 813 8.254444e-06 79 Oct 2015 10-29,99 84.28609 8.585790
## 814 7.898879e-06 218 May 2008 55-69,99 223.17658 8.576865
## 815 7.594213e-06 115 Sep 2006 10-29,99 119.87729 8.912216
## 816 7.542568e-06 222 Feb 2014 41-54,99 216.87465 8.469022
## 817 7.542568e-06 222 Feb 2014 41-54,99 216.87465 8.469022
## 818 7.371777e-06 149 Aug 2012 30-40,99 154.14234 8.349309
## 819 7.229501e-06 94 May 2013 10-29,99 88.93303 8.389838
## 820 7.059571e-06 120 May 2007 10-29,99 115.19383 8.727362
## 821 6.840028e-06 141 Sep 2015 30-40,99 145.81194 8.585790
## 822 6.840028e-06 141 Sep 2015 30-40,99 145.81194 8.585790
## 823 6.666530e-06 86 Jul 2012 10-29,99 81.10983 8.349309
## 824 6.394911e-06 145 Aug 2013 30-40,99 149.76554 8.389838
## 825 5.959333e-06 157 Jan 2014 55-69,99 161.55578 8.469022
## 826 5.959333e-06 157 Jan 2014 55-69,99 161.55578 8.469022
## 827 5.941221e-06 89 Sep 2012 10-29,99 93.61649 8.349309
## 828 5.607760e-06 197 Nov 2014 55-69,99 201.28399 8.726513
## 829 5.607760e-06 197 Nov 2014 55-69,99 201.28399 8.726513
## 830 5.337131e-06 103 Jun 2005 10-29,99 106.98743 9.129342
## 831 5.096353e-06 119 Jan 2012 30-40,99 123.27567 8.349309
## 832 4.998480e-06 202 Dec 2014 55-69,99 197.95542 8.726513
## 833 4.998480e-06 202 Dec 2014 55-69,99 197.95542 8.726513
## 834 4.972538e-06 177 Mar 2014 70-249,99 172.83847 8.469022
## 835 4.972538e-06 177 Mar 2014 70-249,99 172.83847 8.469022
## 836 4.848132e-06 94 Dec 2013 10-29,99 89.97267 8.634675
## 837 4.777843e-06 128 Jan 2015 70-249,99 132.02167 8.585790
## 838 4.777843e-06 128 Jan 2015 70-249,99 132.02167 8.585790
## 839 4.170719e-06 154 Sep 2014 30-40,99 150.18874 8.469022
## 840 4.170719e-06 154 Sep 2014 30-40,99 150.18874 8.469022
## 841 3.852310e-06 85 Oct 2014 10-29,99 88.66289 8.469022
## 842 3.852310e-06 85 Oct 2014 10-29,99 88.66289 8.469022
## 843 3.783869e-06 172 Jun 2015 55-69,99 175.57898 8.585790
## 844 3.783869e-06 172 Jun 2015 55-69,99 175.57898 8.585790
## 845 3.719562e-06 162 Oct 2013 30-40,99 158.36554 8.389838
## 846 3.541664e-06 150 Jul 2012 30-40,99 146.43567 8.349309
## 847 3.468779e-06 169 Feb 2014 55-69,99 172.47578 8.469022
## 848 3.468779e-06 169 Feb 2014 55-69,99 172.47578 8.469022
## 849 3.132578e-06 176 Dec 2014 70-249,99 172.79812 8.726513
## 850 3.132578e-06 176 Dec 2014 70-249,99 172.79812 8.726513
## 851 2.752808e-06 165 Jun 2006 30-40,99 167.93647 8.912216
## 852 2.533814e-06 109 Jul 2005 10-29,99 111.74743 9.129342
## 853 2.295951e-06 66 Feb 2012 10-29,99 68.86983 8.349309
## 854 2.288321e-06 121 Oct 2006 10-29,99 123.67729 8.912216
## 855 2.162505e-06 229 Oct 2007 55-69,99 231.66004 8.727362
## 856 1.995438e-06 83 Mar 2014 10-29,99 85.63623 8.469022
## 857 1.995438e-06 83 Mar 2014 10-29,99 85.63623 8.469022
## 858 1.845844e-06 87 Aug 2013 10-29,99 84.43969 8.389838
## 859 1.635601e-06 208 Nov 2013 55-69,99 205.66079 8.634675
## 860 1.590516e-06 100 Nov 2012 10-29,99 97.67804 8.580193
## 861 1.578578e-06 170 Sep 2015 70-249,99 167.68834 8.585790
## 862 1.578578e-06 170 Sep 2015 70-249,99 167.68834 8.585790
## 863 1.547274e-06 152 Nov 2014 30-40,99 154.25029 8.726513
## 864 1.547274e-06 152 Nov 2014 30-40,99 154.25029 8.726513
## 865 1.179837e-06 174 Jul 2016 55-69,99 175.96218 8.738638
## 866 1.170371e-06 193 Apr 2008 70-249,99 194.99261 8.576865
## 867 1.054619e-06 162 Jul 2013 70-249,99 163.93527 8.389838
## 868 8.697602e-07 97 Mar 2011 10-29,99 98.76663 8.347999
## 869 8.533564e-07 119 Dec 2006 10-29,99 120.61027 9.043198
## 870 7.517313e-07 145 Dec 2015 30-40,99 146.54491 8.854546
## 871 7.517313e-07 145 Dec 2015 30-40,99 146.54491 8.854546
## 872 7.017734e-07 77 Jan 2008 10-29,99 75.45703 8.576865
## 873 6.968979e-07 127 Feb 2014 30-40,99 125.44207 8.469022
## 874 6.968979e-07 127 Feb 2014 30-40,99 125.44207 8.469022
## 875 6.901563e-07 205 Oct 2007 70-249,99 206.50274 8.727362
## 876 5.615408e-07 135 Jan 2014 70-249,99 136.39847 8.469022
## 877 5.615408e-07 135 Jan 2014 70-249,99 136.39847 8.469022
## 878 5.593457e-07 96 Oct 2012 10-29,99 97.41649 8.349309
## 879 4.290723e-07 196 Sep 2014 55-69,99 197.22244 8.469022
## 880 4.290723e-07 196 Sep 2014 55-69,99 197.22244 8.469022
## 881 3.964297e-07 155 Jan 2005 30-40,99 153.91327 9.129342
## 882 3.629210e-07 175 May 2013 70-249,99 176.13527 8.389838
## 883 2.690540e-07 189 Aug 2015 55-69,99 188.04564 8.585790
## 884 2.690540e-07 189 Aug 2015 55-69,99 188.04564 8.585790
## 885 2.130146e-07 221 Apr 2008 55-69,99 220.14991 8.576865
## 886 1.809204e-07 257 Feb 2005 41-54,99 256.26585 9.129342
## 887 1.346285e-07 245 May 2013 41-54,99 245.69145 8.389838
## 888 1.178446e-07 77 Jun 2012 10-29,99 76.34983 8.349309
## 889 1.135740e-09 80 Aug 2014 10-29,99 80.06289 8.469022
## 890 1.135740e-09 80 Aug 2014 10-29,99 80.06289 8.469022
## .resid .hat .sigma .std.resid
## 1 244.9259292 0.02187882 61.96100 3.96302459
## 2 227.1874796 0.02134301 62.04045 3.67500113
## 3 220.3248056 0.02187882 62.06920 3.56496605
## 4 219.6533770 0.02187882 62.07199 3.55410200
## 5 215.7874796 0.02134301 62.08812 3.49059391
## 6 206.3863560 0.02134301 62.12556 3.33852065
## 7 206.0309463 0.02033987 62.12736 3.33106475
## 8 197.6530227 0.02134301 62.15883 3.19724962
## 9 197.3027292 0.02094212 62.16029 3.19092976
## 10 189.2545006 0.02187882 62.18927 3.06223290
## 11 190.9874796 0.02134301 62.18325 3.08942731
## 12 195.5642797 0.02033987 62.16694 3.16184190
## 13 189.1863560 0.02134301 62.18970 3.06029220
## 14 184.9631561 0.02033987 62.20491 2.99044517
## 15 183.9677464 0.01950485 62.20864 2.97308481
## 16 170.5863560 0.02134301 62.25271 2.75941725
## 17 161.6930227 0.02134301 62.28052 2.61555805
## 18 -169.2786536 0.01833919 62.25772 -2.73407109
## 19 155.8930227 0.02134301 62.29784 2.52173683
## 20 153.4941463 0.02134301 62.30482 2.48293243
## 21 -158.9436707 0.01957311 62.28924 -2.56876258
## 22 154.1642797 0.02033987 62.30311 2.49249546
## 23 151.6313006 0.02094212 62.31025 2.45229669
## 24 153.4298227 0.02033987 62.30523 2.48062091
## 25 -159.1986536 0.01833919 62.28877 -2.57126594
## 26 144.2541463 0.02134301 62.33069 2.33346552
## 27 151.0744130 0.01950485 62.31215 2.44149886
## 28 -153.7586536 0.01833919 62.30474 -2.48340285
## 29 140.6200639 0.02134301 62.34042 2.27468034
## 30 -148.1719869 0.01833919 62.32055 -2.39317089
## 31 -147.8386536 0.01833919 62.32147 -2.38778712
## 32 142.0477464 0.01950485 62.33698 2.29561978
## 33 -146.2386536 0.01833919 62.32588 -2.36194504
## 34 132.6870849 0.02187882 62.36070 2.14694370
## 35 136.5909463 0.02033987 62.35109 2.20837352
## 36 -142.7997772 0.01833919 62.33520 -2.30640270
## 37 -141.7053202 0.01833919 62.33812 -2.28872579
## 38 130.7016056 0.02094212 62.36577 2.11380575
## 39 130.0301770 0.02094212 62.36741 2.10294690
## 40 126.8106804 0.02187882 62.37503 2.05186052
## 41 130.3090800 0.02040151 62.36682 2.10687593
## 42 132.3666228 0.01950485 62.36190 2.13916408
## 43 127.1346231 0.02040151 62.37449 2.05555036
## 44 122.4821090 0.02187882 62.38517 1.98182206
## 45 129.4877464 0.01950485 62.36897 2.09263884
## 46 123.2941463 0.02134301 62.38338 1.99441504
## 47 -128.6150993 0.01957311 62.37107 -2.07860844
## 48 126.5786807 0.02007748 62.37586 2.04622333
## 49 126.5786807 0.02007748 62.37586 2.04622333
## 50 -124.2909200 0.02040151 62.38120 -2.00957253
## 51 -130.8797772 0.01833919 62.36576 -2.11387915
## 52 -124.2162229 0.01957311 62.38150 -2.00751615
## 53 118.7353135 0.02094212 62.39379 1.92027777
## 54 118.3642797 0.02033987 62.39470 1.91368863
## 55 112.6130227 0.02134301 62.40704 1.82163641
## 56 112.4200639 0.02134301 62.40745 1.81851510
## 57 112.2200639 0.02134301 62.40787 1.81527988
## 58 113.5098227 0.02033987 62.40526 1.83520280
## 59 110.7357467 0.02040151 62.41109 1.79040846
## 60 110.7631561 0.02033987 62.41104 1.79079527
## 61 -115.7224738 0.01833919 62.40076 -1.86906892
## 62 -115.4397772 0.01833919 62.40137 -1.86450300
## 63 107.9554807 0.02082204 62.41674 1.74583106
## 64 -116.3285202 0.01800854 62.39948 -1.87854102
## 65 107.1874804 0.02094212 62.41828 1.73351744
## 66 -114.8460693 0.01833919 62.40265 -1.85491385
## 67 -110.1825150 0.01957311 62.41233 -1.78071087
## 68 109.4466228 0.01950485 62.41385 1.76875620
## 69 -110.1679943 0.01914079 62.41241 -1.78008377
## 70 105.6309463 0.02033987 62.42145 1.70781879
## 71 103.8589090 0.02094212 62.42487 1.67968525
## 72 -111.4450535 0.01784602 62.40991 -1.79953104
## 73 103.7319265 0.02040151 62.42517 1.67716861
## 74 -110.6218535 0.01800854 62.41160 -1.78638643
## 75 -109.9285202 0.01800854 62.41303 -1.77519008
## 76 105.4077464 0.01950485 62.42198 1.70348431
## 77 -110.0850535 0.01784602 62.41273 -1.77757078
## 78 -109.3818535 0.01800854 62.41415 -1.76636218
## 79 -105.2382993 0.01914079 62.42235 -1.70043024
## 80 -108.0050535 0.01784602 62.41697 -1.74398450
## 81 -102.5447943 0.01957311 62.42755 -1.65727411
## 82 102.6039261 0.01950485 62.42744 1.65817204
## 83 -102.3874909 0.01957311 62.42785 -1.65473186
## 84 -105.5053202 0.01833919 62.42191 -1.70404856
## 85 -105.3597772 0.01833919 62.42220 -1.70169785
## 86 -106.5250535 0.01784602 62.41994 -1.72008657
## 87 -104.8397772 0.01833919 62.42322 -1.69329917
## 88 98.8652598 0.02040151 62.43442 1.59848290
## 89 -105.4183868 0.01784602 62.42214 -1.70221695
## 90 98.2919265 0.02040151 62.43548 1.58921307
## 91 95.7196894 0.02134301 62.44007 1.54836863
## 92 98.1204595 0.02033987 62.43580 1.58639083
## 93 97.9898227 0.02033987 62.43604 1.58427872
## 94 97.8119265 0.02040151 62.43636 1.58145229
## 95 97.3719265 0.02040151 62.43716 1.57433824
## 96 -101.1078992 0.01885258 62.43036 -1.63345166
## 97 94.7436594 0.02134301 62.44182 1.53258030
## 98 -103.4618535 0.01800854 62.42594 -1.67076256
## 99 95.7981774 0.02082204 62.43998 1.54922596
## 100 -101.7951869 0.01800854 62.42914 -1.64384825
## 101 97.4732894 0.01950485 62.43706 1.57525633
## 102 -101.7517202 0.01784602 62.42924 -1.64301037
## 103 -100.5296438 0.01800854 62.43154 -1.62341152
## 104 -99.9018535 0.01800854 62.43271 -1.61327360
## 105 -96.8614992 0.01887660 62.43823 -1.56486798
## 106 -98.3053202 0.01833919 62.43564 -1.58775917
## 107 93.8866228 0.01950485 62.44349 1.51729256
## 108 -89.8920436 0.02040151 62.45029 -1.45340127
## 109 -95.8218535 0.01800854 62.44018 -1.54738737
## 110 -92.5668707 0.01914079 62.44582 -1.49568652
## 111 -94.6424738 0.01833919 62.44225 -1.52859942
## 112 88.5631561 0.02033987 62.45252 1.43187037
## 113 -93.3064438 0.01833919 62.44460 -1.50702079
## 114 -93.2727360 0.01833919 62.44466 -1.50647637
## 115 -93.7723404 0.01800854 62.44381 -1.51429063
## 116 -92.7660693 0.01833919 62.44554 -1.49829304
## 117 84.3585134 0.02187882 62.45923 1.36496313
## 118 86.6671261 0.02033987 62.45563 1.40121576
## 119 85.6709463 0.02033987 62.45724 1.38510973
## 120 -89.0821203 0.01883796 62.45177 -1.43915811
## 121 -91.1261771 0.01784602 62.44840 -1.47143708
## 122 84.9968639 0.02033987 62.45832 1.37421131
## 123 -86.5110865 0.01957311 62.45594 -1.39814590
## 124 -89.1491405 0.01833919 62.45170 -1.43987492
## 125 84.4635306 0.02033987 62.45917 1.36558849
## 126 82.3208130 0.02134301 62.46245 1.33162744
## 127 -86.0589195 0.01957311 62.45667 -1.39083822
## 128 -90.1528438 0.01784602 62.45005 -1.45572042
## 129 -88.6061771 0.01784602 62.45264 -1.43074601
## 130 -87.3260693 0.01833919 62.45471 -1.41042994
## 131 -87.2024738 0.01833919 62.45491 -1.40843372
## 132 -86.9491405 0.01833919 62.45532 -1.40434205
## 133 -88.0461771 0.01784602 62.45356 -1.42170355
## 134 83.5069973 0.01950485 62.46073 1.34954844
## 135 -86.1064438 0.01833919 62.45668 -1.39073140
## 136 -87.2450535 0.01784602 62.45487 -1.40876761
## 137 -87.0195104 0.01784602 62.45524 -1.40512571
## 138 82.9551264 0.01955529 62.46159 1.34066419
## 139 -85.7394026 0.01833919 62.45727 -1.38480321
## 140 81.1871261 0.02033987 62.46425 1.31261628
## 141 82.9203306 0.01950485 62.46164 1.34006738
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## 787 7.2015264 0.01836721 62.52550 0.11631571
## 788 6.9880642 0.01887719 62.52553 0.11289729
## 789 6.9880642 0.01887719 62.52553 0.11289729
## 790 -6.8021769 0.01955529 62.52555 -0.10993215
## 791 6.8205736 0.01887719 62.52555 0.11019136
## 792 6.8205736 0.01887719 62.52555 0.11019136
## 793 -6.5958721 0.01950106 62.52558 -0.10659504
## 794 -6.5958721 0.01950106 62.52558 -0.10659504
## 795 -6.6952737 0.01802535 62.52557 -0.10812012
## 796 -6.3626026 0.01800854 62.52561 -0.10274703
## 797 -6.1354536 0.01883796 62.52563 -0.09912076
## 798 6.1811308 0.01802535 62.52563 0.09981737
## 799 5.9403294 0.01909276 62.52566 0.09598092
## 800 6.0379309 0.01836721 62.52564 0.09752185
## 801 6.0379309 0.01836721 62.52564 0.09752185
## 802 5.7261733 0.01950485 62.52568 0.09254013
## 803 -5.5476435 0.02007748 62.52570 -0.08968112
## 804 -5.5476435 0.02007748 62.52570 -0.08968112
## 805 5.7411308 0.01802535 62.52568 0.09271193
## 806 5.3551264 0.01955529 62.52572 0.08654590
## 807 5.3810230 0.01887719 62.52571 0.08693437
## 808 5.3810230 0.01887719 62.52571 0.08693437
## 809 -5.4914534 0.01802535 62.52570 -0.08867996
## 810 -5.3012436 0.01909276 62.52572 -0.08565488
## 811 5.4344642 0.01802535 62.52571 0.08775966
## 812 -5.2860931 0.01887719 62.52572 -0.08540070
## 813 -5.2860931 0.01887719 62.52572 -0.08540070
## 814 -5.1765772 0.01883796 62.52573 -0.08362972
## 815 -4.8772934 0.02033987 62.52576 -0.07885505
## 816 5.1253466 0.01836721 62.52574 0.08278222
## 817 5.1253466 0.01836721 62.52574 0.08278222
## 818 -5.1423359 0.01785163 62.52574 -0.08303481
## 819 5.0669735 0.01802535 62.52575 0.08182515
## 820 4.8061733 0.01950485 62.52577 0.07767210
## 821 -4.8119358 0.01887719 62.52577 -0.07774035
## 822 -4.8119358 0.01887719 62.52577 -0.07774035
## 823 4.8901735 0.01785163 62.52576 0.07896307
## 824 -4.7655358 0.01802535 62.52577 -0.07695732
## 825 -4.5557770 0.01836721 62.52579 -0.07358279
## 826 -4.5557770 0.01836721 62.52579 -0.07358279
## 827 -4.6164932 0.01785163 62.52579 -0.07454388
## 828 -4.2839941 0.01950106 62.52581 -0.06923308
## 829 -4.2839941 0.01950106 62.52581 -0.06923308
## 830 -3.9874267 0.02134301 62.52584 -0.06450090
## 831 -4.2756692 0.01785163 62.52581 -0.06904049
## 832 4.0445773 0.01950106 62.52583 0.06536389
## 833 4.0445773 0.01950106 62.52583 0.06536389
## 834 4.1615264 0.01836721 62.52582 0.06721504
## 835 4.1615264 0.01836721 62.52582 0.06721504
## 836 4.0273278 0.01909276 62.52583 0.06507158
## 837 -4.0216736 0.01887719 62.52583 -0.06497308
## 838 -4.0216736 0.01887719 62.52583 -0.06497308
## 839 3.8112642 0.01836721 62.52585 0.06155777
## 840 3.8112642 0.01836721 62.52585 0.06155777
## 841 -3.6628931 0.01836721 62.52586 -0.05916135
## 842 -3.6628931 0.01836721 62.52586 -0.05916135
## 843 -3.5789770 0.01887719 62.52587 -0.05782099
## 844 -3.5789770 0.01887719 62.52587 -0.05782099
## 845 3.6344642 0.01802535 62.52586 0.05869196
## 846 3.5643308 0.01785163 62.52587 0.05755430
## 847 -3.4757770 0.01836721 62.52587 -0.05613913
## 848 -3.4757770 0.01836721 62.52587 -0.05613913
## 849 3.2018807 0.01950106 62.52589 0.05174518
## 850 3.2018807 0.01950106 62.52589 0.05174518
## 851 -2.9364694 0.02033987 62.52590 -0.04747622
## 852 -2.7474267 0.02134301 62.52591 -0.04444257
## 853 -2.8698265 0.01785163 62.52591 -0.04633994
## 854 -2.6772934 0.02033987 62.52592 -0.04328591
## 855 -2.6600439 0.01950485 62.52592 -0.04298871
## 856 -2.6362264 0.01836721 62.52592 -0.04257910
## 857 -2.6362264 0.01836721 62.52592 -0.04257910
## 858 2.5603069 0.01802535 62.52592 0.04134569
## 859 2.3392058 0.01909276 62.52593 0.03779574
## 860 2.3219564 0.01885258 62.52593 0.03751244
## 861 2.3116597 0.01887719 62.52594 0.03734656
## 862 2.3116597 0.01887719 62.52594 0.03734656
## 863 -2.2502863 0.01950106 62.52594 -0.03636659
## 864 -2.2502863 0.01950106 62.52594 -0.03636659
## 865 -1.9621769 0.01955529 62.52595 -0.03171137
## 866 -1.9926072 0.01883796 62.52595 -0.03219138
## 867 -1.9352737 0.01802535 62.52595 -0.03125220
## 868 -1.7666265 0.01784602 62.52596 -0.02852616
## 869 -1.6102724 0.02094212 62.52596 -0.02604255
## 870 -1.5449148 0.02007748 62.52596 -0.02497451
## 871 -1.5449148 0.02007748 62.52596 -0.02497451
## 872 1.5429734 0.01883796 62.52596 0.02492737
## 873 1.5579309 0.01836721 62.52596 0.02516298
## 874 1.5579309 0.01836721 62.52596 0.02516298
## 875 -1.5027405 0.01950485 62.52596 -0.02428564
## 876 -1.3984736 0.01836721 62.52597 -0.02258750
## 877 -1.3984736 0.01836721 62.52597 -0.02258750
## 878 -1.4164932 0.01785163 62.52597 -0.02287253
## 879 -1.2224437 0.01836721 62.52597 -0.01974434
## 880 -1.2224437 0.01836721 62.52597 -0.01974434
## 881 1.0867306 0.02134301 62.52597 0.01757903
## 882 -1.1352737 0.01802535 62.52597 -0.01833322
## 883 0.9543564 0.01887719 62.52598 0.01541833
## 884 0.9543564 0.01887719 62.52598 0.01541833
## 885 0.8500895 0.01883796 62.52598 0.01373354
## 886 0.7341463 0.02134301 62.52598 0.01187560
## 887 -0.6914534 0.01802535 62.52598 -0.01116609
## 888 0.6501735 0.01785163 62.52598 0.01049854
## 889 -0.0628931 0.01836721 62.52599 -0.00101582
## 890 -0.0628931 0.01836721 62.52599 -0.00101582Same for mean price per m^2:
predicted_pua2 <- harju %>%
lm(price_unit_area_mean ~ month + year + area, data = .) %>%
augment
predicted_pua2 %>%
ggplot(aes(factor(month, levels = month.abb), .resid, group = year, color = factor(year))) +
geom_hline(yintercept = 0, colour = "white", size = 3) +
geom_line() +
facet_wrap(~ area) +
scale_color_viridis(discrete = TRUE) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
Seems ok!
predicted_pua2 %>%
arrange(desc(.cooksd)) %>%
dplyr::select(.cooksd, everything(.))## .cooksd price_unit_area_mean month year area .fitted
## 1 9.230944e-03 1725.98 Apr 2007 10-29,99 1043.9730
## 2 8.394703e-03 421.50 Jul 2009 10-29,99 1093.0304
## 3 7.883079e-03 1650.16 Jun 2007 30-40,99 1019.9088
## 4 6.989624e-03 1665.78 Aug 2007 10-29,99 1072.3184
## 5 6.803107e-03 1604.90 Apr 2007 30-40,99 1019.4101
## 6 6.686472e-03 1615.97 Apr 2007 41-54,99 1035.5207
## 7 6.647846e-03 1605.01 Feb 2007 10-29,99 1026.2397
## 8 6.596180e-03 1615.85 May 2007 10-29,99 1039.3332
## 9 6.560851e-03 1617.83 Mar 2007 41-54,99 1042.8591
## 10 6.499619e-03 1599.03 Mar 2007 30-40,99 1026.7485
## 11 6.327619e-03 1615.97 Mar 2007 10-29,99 1051.3114
## 12 6.311821e-03 1565.63 Feb 2007 30-40,99 1001.6768
## 13 6.227523e-03 1580.35 Oct 2006 10-29,99 1032.2615
## 14 5.952776e-03 1592.15 Jun 2007 10-29,99 1044.4717
## 15 5.850211e-03 1551.39 Dec 2006 30-40,99 1028.1808
## 16 5.790916e-03 1906.77 Jun 2017 10-29,99 1379.0760
## 17 5.686517e-03 1550.06 May 2007 30-40,99 1014.7702
## 18 5.486466e-03 1534.35 Nov 2006 10-29,99 1027.6675
## 19 5.445078e-03 601.43 Sep 2009 10-29,99 1142.2654
## 20 5.156633e-03 1543.96 Dec 2006 10-29,99 1052.7437
## 21 5.034029e-03 1567.51 Aug 2007 41-54,99 1063.8661
## 22 4.968849e-03 1518.03 Jul 2007 41-54,99 1017.6573
## 23 4.881224e-03 1477.89 Jul 2006 10-29,99 992.6491
## 24 4.751069e-03 634.87 Jun 2010 10-29,99 1144.8530
## 25 4.726362e-03 1524.03 Jun 2007 41-54,99 1036.0194
## 26 4.692136e-03 1512.35 Jul 2007 10-29,99 1026.1096
## 27 4.572314e-03 1505.07 Feb 2007 55-69,99 1025.0782
## 28 4.474401e-03 624.88 Apr 2010 30-40,99 1119.7914
## 29 4.458130e-03 624.67 Jan 2010 10-29,99 1118.6807
## 30 4.419207e-03 1499.03 Dec 2006 41-54,99 1044.2914
## 31 4.415156e-03 1489.97 Jan 2007 10-29,99 1018.2994
## 32 4.379339e-03 1463.49 Jan 2007 30-40,99 993.7365
## 33 4.356237e-03 1478.36 Jan 2007 41-54,99 1009.8471
## 34 4.351706e-03 1499.15 May 2007 41-54,99 1030.8809
## 35 4.331048e-03 648.44 Aug 2009 41-54,99 1130.7869
## 36 4.328656e-03 657.57 Apr 2010 10-29,99 1144.3543
## 37 4.299366e-03 1513.20 Aug 2007 30-40,99 1047.7554
## 38 4.286092e-03 1540.07 Sep 2007 10-29,99 1075.3445
## 39 4.276720e-03 684.34 Dec 2009 10-29,99 1153.1250
## 40 4.273144e-03 1461.71 Oct 2006 30-40,99 1007.6986
## 41 4.231119e-03 1716.98 Sep 2007 70-249,99 1255.2444
## 42 4.226431e-03 1504.79 Jun 2007 55-69,99 1043.3102
## 43 4.185763e-03 1461.78 Nov 2006 41-54,99 1019.2152
## 44 4.184402e-03 661.11 May 2010 10-29,99 1139.7145
## 45 4.175410e-03 679.74 Feb 2011 10-29,99 1160.0814
## 46 4.141794e-03 1543.10 Jun 2008 10-29,99 1077.9321
## 47 4.135098e-03 667.93 Aug 2009 10-29,99 1139.2392
## 48 4.069092e-03 1495.62 Apr 2007 55-69,99 1042.8116
## 49 4.064915e-03 650.41 Sep 2009 30-40,99 1117.7024
## 50 3.999931e-03 707.79 Sep 2010 10-29,99 1175.7258
## 51 3.960816e-03 1448.29 Jul 2007 30-40,99 1001.5466
## 52 3.886397e-03 1443.99 Jun 2006 10-29,99 1011.0113
## 53 3.840907e-03 714.16 Aug 2010 10-29,99 1172.6997
## 54 3.833115e-03 1457.27 Feb 2007 41-54,99 1017.7874
## 55 3.768973e-03 1485.94 Mar 2007 55-69,99 1050.1500
## 56 3.765822e-03 1502.50 Sep 2007 41-54,99 1066.8922
## 57 3.753162e-03 1463.88 Nov 2007 30-40,99 1036.5650
## 58 3.721212e-03 1429.55 May 2006 10-29,99 1005.8727
## 59 3.675883e-03 678.04 Feb 2010 10-29,99 1126.6210
## 60 3.571474e-03 1648.59 Jun 2007 70-249,99 1224.3716
## 61 3.554325e-03 674.05 May 2010 30-40,99 1115.1515
## 62 3.550278e-03 1452.69 Aug 2006 10-29,99 1038.8579
## 63 3.544585e-03 1394.81 May 2006 30-40,99 981.3098
## 64 3.539300e-03 701.59 Nov 2009 10-29,99 1128.0488
## 65 3.471325e-03 1456.40 May 2007 55-69,99 1038.1717
## 66 3.471007e-03 761.61 Oct 2011 10-29,99 1199.5637
## 67 3.449325e-03 1449.79 Sep 2006 10-29,99 1041.8841
## 68 3.419327e-03 717.46 Jan 2011 10-29,99 1152.1412
## 69 3.399551e-03 875.00 Jul 2010 70-249,99 1306.3907
## 70 3.396962e-03 1652.93 Jan 2008 70-249,99 1231.6598
## 71 3.360903e-03 1370.73 Jul 2006 30-40,99 968.0862
## 72 3.351161e-03 1644.81 Nov 2007 70-249,99 1241.0278
## 73 3.319323e-03 770.60 Dec 2010 10-29,99 1186.5855
## 74 3.314106e-03 1392.61 Feb 2006 10-29,99 992.7793
## 75 3.291966e-03 1464.55 Oct 2007 41-54,99 1057.2697
## 76 3.242655e-03 1455.00 Sep 2007 30-40,99 1050.7816
## 77 3.229036e-03 1634.58 Mar 2007 70-249,99 1231.2113
## 78 3.206313e-03 722.66 Dec 2009 30-40,99 1128.5621
## 79 3.203467e-03 717.81 Oct 2009 10-29,99 1132.6428
## 80 3.183505e-03 699.03 Nov 2009 30-40,99 1103.4858
## 81 3.169339e-03 929.47 Dec 2009 70-249,99 1333.0249
## 82 3.163247e-03 847.15 Dec 2012 10-29,99 1253.5063
## 83 3.142504e-03 1733.18 Jan 2017 41-54,99 1344.4514
## 84 3.110006e-03 713.88 Jul 2010 10-29,99 1126.4909
## 85 3.094527e-03 1453.84 Jan 2008 10-29,99 1051.7599
## 86 3.090254e-03 1445.11 Jan 2008 41-54,99 1043.3076
## 87 3.077258e-03 741.26 Mar 2010 10-29,99 1151.6927
## 88 3.063797e-03 1405.14 Nov 2006 55-69,99 1026.5060
## 89 3.063163e-03 1645.09 Aug 2007 70-249,99 1252.2183
## 90 3.047895e-03 1446.72 Dec 2007 30-40,99 1061.6413
## 91 3.045294e-03 1437.59 Nov 2007 41-54,99 1052.6756
## 92 3.041778e-03 1445.82 Nov 2007 10-29,99 1061.1279
## 93 3.032698e-03 1757.64 Oct 2017 30-40,99 1375.7634
## 94 3.012714e-03 1460.78 Aug 2007 55-69,99 1071.1569
## 95 3.005858e-03 760.46 Oct 2010 10-29,99 1166.1033
## 96 2.987624e-03 710.28 Apr 2009 10-29,99 1110.8939
## 97 2.980076e-03 668.36 Jul 2009 30-40,99 1068.4675
## 98 2.979814e-03 753.37 Dec 2009 41-54,99 1144.6727
## 99 2.979056e-03 1593.45 Jul 2007 70-249,99 1206.0095
## 100 2.976155e-03 767.64 May 2011 10-29,99 1173.1749
## 101 2.951108e-03 686.42 Jul 2009 41-54,99 1084.5781
## 102 2.915623e-03 1343.24 Feb 2006 30-40,99 968.2163
## 103 2.914627e-03 1642.67 Dec 2007 70-249,99 1266.1041
## 104 2.899014e-03 777.57 Apr 2011 10-29,99 1177.8148
## 105 2.894213e-03 785.24 Mar 2011 10-29,99 1185.1532
## 106 2.894021e-03 1423.03 Oct 2007 30-40,99 1041.1590
## 107 2.880409e-03 714.72 Oct 2009 30-40,99 1108.0799
## 108 2.854604e-03 749.51 Sep 2009 55-69,99 1141.1039
## 109 2.834029e-03 1387.06 Sep 2006 30-40,99 1017.3211
## 110 2.821290e-03 1401.99 Jul 2007 55-69,99 1024.9481
## 111 2.779469e-03 1448.42 Sep 2007 55-69,99 1074.1830
## 112 2.779410e-03 1452.77 Dec 2007 55-69,99 1085.0427
## 113 2.771096e-03 909.10 Jan 2010 70-249,99 1298.5806
## 114 2.753189e-03 1374.94 Apr 2006 10-29,99 1010.5126
## 115 2.749677e-03 932.06 Nov 2009 70-249,99 1307.9486
## 116 2.748152e-03 749.59 Sep 2009 41-54,99 1133.8131
## 117 2.721641e-03 939.80 Sep 2009 70-249,99 1322.1653
## 118 2.703512e-03 791.80 Jun 2011 10-29,99 1178.3134
## 119 2.688611e-03 847.64 Oct 2012 10-29,99 1233.0241
## 120 2.683348e-03 755.56 Nov 2009 55-69,99 1126.8873
## 121 2.678583e-03 1401.28 Jan 2008 30-40,99 1027.1969
## 122 2.648532e-03 806.55 Dec 2010 41-54,99 1178.1332
## 123 2.643984e-03 762.75 Apr 2010 55-69,99 1143.1929
## 124 2.643189e-03 975.24 Sep 2010 70-249,99 1355.6257
## 125 2.605880e-03 781.12 Mar 2011 30-40,99 1160.5902
## 126 2.604719e-03 1415.95 Nov 2007 55-69,99 1059.9664
## 127 2.601525e-03 917.46 Jun 2009 70-249,99 1291.2925
## 128 2.589993e-03 1339.91 Jun 2006 30-40,99 986.4483
## 129 2.576407e-03 1435.86 Apr 2008 41-54,99 1068.9812
## 130 2.571572e-03 1398.47 Dec 2006 55-69,99 1051.5823
## 131 2.570021e-03 1566.00 Feb 2007 70-249,99 1206.1396
## 132 2.564223e-03 941.40 Oct 2009 70-249,99 1312.5427
## 133 2.551500e-03 1430.08 Dec 2007 41-54,99 1077.7519
## 134 2.539161e-03 802.12 Mar 2011 41-54,99 1176.7009
## 135 2.519832e-03 820.32 Jul 2012 10-29,99 1193.4117
## 136 2.513581e-03 1579.76 Apr 2007 70-249,99 1223.8729
## 137 2.504538e-03 1732.95 Mar 2017 10-29,99 1385.9157
## 138 2.497865e-03 1380.55 Sep 2006 41-54,99 1033.4318
## 139 2.491701e-03 1746.47 Oct 2017 10-29,99 1400.3263
## 140 2.490632e-03 1600.32 Feb 2008 70-249,99 1239.6000
## 141 2.472034e-03 763.19 Nov 2009 41-54,99 1119.5964
## 142 2.430453e-03 1340.34 Nov 2006 30-40,99 1003.1045
## 143 2.419898e-03 1366.33 Jan 2007 55-69,99 1017.1380
## 144 2.403621e-03 844.74 Sep 2011 10-29,99 1209.1862
## 145 2.400197e-03 990.12 Aug 2010 70-249,99 1352.5995
## 146 2.399414e-03 780.82 Mar 2010 41-54,99 1143.2404
## 147 2.389578e-03 1363.32 Oct 2006 41-54,99 1023.8092
## 148 2.377014e-03 780.74 Aug 2009 55-69,99 1138.0778
## 149 2.375177e-03 729.63 Jun 2009 30-40,99 1086.8296
## 150 2.370954e-03 810.45 Dec 2010 30-40,99 1162.0225
## 151 2.348464e-03 1377.30 Sep 2006 55-69,99 1040.7226
## 152 2.338187e-03 800.50 Jul 2011 10-29,99 1159.9513
## 153 2.327823e-03 1741.49 Aug 2017 10-29,99 1406.9227
## 154 2.304727e-03 766.37 Mar 2009 10-29,99 1118.2323
## 155 2.301540e-03 850.07 May 2012 10-29,99 1206.6353
## 156 2.297367e-03 772.50 Mar 2010 30-40,99 1127.1298
## 157 2.292387e-03 1418.86 May 2008 10-29,99 1072.7936
## 158 2.287862e-03 760.82 Jun 2009 10-29,99 1111.3926
## 159 2.273177e-03 741.36 Jan 2010 30-40,99 1094.1178
## 160 2.254492e-03 818.68 Nov 2010 10-29,99 1161.5092
## 161 2.248296e-03 1393.97 Feb 2008 41-54,99 1051.2478
## 162 2.241872e-03 734.66 May 2009 30-40,99 1081.6911
## 163 2.234608e-03 844.11 Dec 2010 55-69,99 1185.4240
## 164 2.230360e-03 1342.30 Aug 2006 30-40,99 1014.2950
## 165 2.226615e-03 802.98 Jun 2011 30-40,99 1153.7505
## 166 2.219605e-03 796.78 Nov 2010 30-40,99 1136.9463
## 167 2.199171e-03 755.09 Feb 2010 30-40,99 1102.0581
## 168 2.195795e-03 905.54 Mar 2013 10-29,99 1252.0740
## 169 2.185471e-03 881.61 Dec 2011 10-29,99 1220.0459
## 170 2.158081e-03 866.50 Jun 2012 10-29,99 1211.7739
## 171 2.157254e-03 1395.42 Oct 2007 10-29,99 1065.7220
## 172 2.142254e-03 775.72 Feb 2010 41-54,99 1118.1687
## 173 2.136519e-03 1408.61 Dec 2007 10-29,99 1086.2042
## 174 2.128024e-03 784.02 Jul 2010 55-69,99 1125.3294
## 175 2.121008e-03 989.69 Jan 2011 70-249,99 1332.0410
## 176 2.113254e-03 811.04 Sep 2010 30-40,99 1151.1629
## 177 2.111746e-03 982.33 Aug 2009 70-249,99 1319.1391
## 178 2.100993e-03 788.24 Oct 2009 41-54,99 1124.1905
## 179 2.093370e-03 897.86 Nov 2012 10-29,99 1228.4300
## 180 2.092137e-03 779.10 Jan 2010 55-69,99 1117.5193
## 181 2.072677e-03 758.19 Jul 2009 55-69,99 1091.8690
## 182 2.051367e-03 1391.71 May 2008 41-54,99 1064.3413
## 183 2.019771e-03 859.89 Mar 2005 70-249,99 1164.2905
## 184 2.011434e-03 770.10 Jul 2010 30-40,99 1101.9279
## 185 1.996817e-03 789.67 Jun 2010 30-40,99 1120.2901
## 186 1.996222e-03 1683.76 May 2017 10-29,99 1373.9375
## 187 1.993952e-03 1662.55 Jan 2017 10-29,99 1352.9037
## 188 1.993896e-03 1296.08 Apr 2006 30-40,99 985.9497
## 189 1.983363e-03 1512.21 Nov 2006 70-249,99 1207.5673
## 190 1.980992e-03 834.94 Aug 2010 41-54,99 1164.2474
## 191 1.966121e-03 1659.22 Jan 2017 55-69,99 1351.7423
## 192 1.949431e-03 1377.67 Feb 2008 55-69,99 1058.5387
## 193 1.943692e-03 807.79 Feb 2011 30-40,99 1135.5185
## 194 1.938861e-03 822.35 Aug 2010 30-40,99 1148.1367
## 195 1.927011e-03 825.31 Feb 2011 41-54,99 1151.6291
## 196 1.911892e-03 815.04 May 2010 55-69,99 1138.5530
## 197 1.911703e-03 1681.77 Apr 2017 10-29,99 1378.5773
## 198 1.903358e-03 1637.04 Nov 2016 30-40,99 1337.7088
## 199 1.899554e-03 1373.94 Oct 2007 55-69,99 1064.5605
## 200 1.896037e-03 971.65 Apr 2009 70-249,99 1290.7938
## 201 1.892452e-03 1507.00 Jan 2007 70-249,99 1198.1993
## 202 1.866942e-03 1528.21 Dec 2006 70-249,99 1232.6436
## 203 1.863923e-03 925.96 Jun 2013 10-29,99 1245.2343
## 204 1.860062e-03 1388.05 Mar 2008 41-54,99 1076.3196
## 205 1.838054e-03 857.36 Sep 2010 55-69,99 1174.5643
## 206 1.833737e-03 845.00 Dec 2009 55-69,99 1151.9636
## 207 1.831380e-03 1408.50 Oct 2008 10-29,99 1099.1824
## 208 1.813866e-03 826.43 Oct 2010 30-40,99 1141.5403
## 209 1.810146e-03 819.65 Oct 2009 55-69,99 1131.4814
## 210 1.780874e-03 839.55 Apr 2011 30-40,99 1153.2518
## 211 1.772988e-03 1557.04 May 2008 70-249,99 1252.6935
## 212 1.765407e-03 1020.72 Mar 2010 70-249,99 1331.5926
## 213 1.758186e-03 869.90 Aug 2011 30-40,99 1181.5972
## 214 1.754100e-03 1362.93 Mar 2008 30-40,99 1060.2089
## 215 1.749967e-03 1298.98 Dec 2005 10-29,99 1019.2833
## 216 1.726261e-03 968.41 Jul 2009 70-249,99 1272.9303
## 217 1.703477e-03 845.16 Mar 2010 55-69,99 1150.5313
## 218 1.695264e-03 1019.62 Apr 2010 70-249,99 1324.2542
## 219 1.694608e-03 855.83 Nov 2010 41-54,99 1153.0569
## 220 1.672351e-03 1330.72 Feb 2008 30-40,99 1035.1372
## 221 1.664089e-03 883.52 Apr 2012 30-40,99 1186.7123
## 222 1.653005e-03 1378.64 Mar 2008 10-29,99 1084.7719
## 223 1.651253e-03 788.50 Apr 2009 30-40,99 1086.3310
## 224 1.649775e-03 876.36 Nov 2011 30-40,99 1170.4067
## 225 1.643698e-03 867.65 Feb 2012 30-40,99 1168.9789
## 226 1.641554e-03 1038.80 Feb 2011 70-249,99 1339.9813
## 227 1.636870e-03 882.92 Apr 2005 70-249,99 1156.9521
## 228 1.628386e-03 1342.27 Jan 2008 55-69,99 1050.5984
## 229 1.612563e-03 815.91 Jun 2009 55-69,99 1110.2311
## 230 1.603288e-03 895.94 Feb 2012 10-29,99 1193.5419
## 231 1.579498e-03 1346.96 Feb 2008 10-29,99 1059.7001
## 232 1.560931e-03 908.95 Nov 2011 10-29,99 1194.9696
## 233 1.560185e-03 1598.84 Sep 2014 10-29,99 1309.5675
## 234 1.560185e-03 1598.84 Sep 2014 10-29,99 1309.5675
## 235 1.554052e-03 844.73 Jun 2010 41-54,99 1136.4007
## 236 1.546782e-03 1332.50 May 2008 30-40,99 1048.2307
## 237 1.538693e-03 873.13 May 2011 41-54,99 1164.7226
## 238 1.527496e-03 891.59 May 2012 30-40,99 1182.0724
## 239 1.503143e-03 880.42 Sep 2010 41-54,99 1167.2735
## 240 1.499532e-03 920.65 Oct 2012 30-40,99 1208.4612
## 241 1.492355e-03 898.48 Jan 2012 10-29,99 1185.6016
## 242 1.481409e-03 956.58 Sep 2012 10-29,99 1242.6467
## 243 1.477609e-03 832.94 Aug 2009 30-40,99 1114.6763
## 244 1.473246e-03 1259.87 Mar 2006 30-40,99 993.2881
## 245 1.471658e-03 920.99 Aug 2011 10-29,99 1206.1601
## 246 1.471645e-03 847.43 May 2010 41-54,99 1131.2622
## 247 1.467319e-03 1626.34 Jul 2017 10-29,99 1360.7139
## 248 1.466866e-03 822.23 Jun 2009 41-54,99 1102.9403
## 249 1.464802e-03 724.00 Mar 2005 55-69,99 983.2291
## 250 1.463328e-03 918.55 Dec 2011 30-40,99 1195.4830
## 251 1.440172e-03 1350.57 Apr 2008 55-69,99 1076.2720
## 252 1.438356e-03 1614.03 Nov 2016 41-54,99 1353.8195
## 253 1.432543e-03 882.86 Feb 2005 70-249,99 1139.2187
## 254 1.421190e-03 937.26 Mar 2012 55-69,99 1217.4521
## 255 1.413399e-03 839.88 Jul 2010 41-54,99 1118.0386
## 256 1.410903e-03 1046.84 Jun 2010 70-249,99 1324.7529
## 257 1.402425e-03 1323.55 Apr 2008 30-40,99 1052.8705
## 258 1.399212e-03 705.96 Feb 2005 10-29,99 959.3188
## 259 1.397838e-03 1071.46 Nov 2010 70-249,99 1341.4091
## 260 1.384512e-03 926.27 Apr 2012 41-54,99 1202.8229
## 261 1.380831e-03 882.69 Feb 2011 55-69,99 1158.9200
## 262 1.375446e-03 899.31 Oct 2011 30-40,99 1175.0008
## 263 1.373843e-03 1648.90 Oct 2017 41-54,99 1391.8740
## 264 1.369202e-03 699.59 Jan 2005 55-69,99 950.2171
## 265 1.359351e-03 1090.98 Mar 2011 70-249,99 1365.0530
## 266 1.357556e-03 874.72 May 2011 30-40,99 1148.6120
## 267 1.357489e-03 920.21 Mar 2012 30-40,99 1194.0507
## 268 1.343370e-03 1638.82 Dec 2016 10-29,99 1387.3481
## 269 1.340204e-03 1102.16 Dec 2010 70-249,99 1366.4854
## 270 1.339573e-03 943.03 Aug 2012 30-40,99 1215.0576
## 271 1.330563e-03 1049.73 May 2010 70-249,99 1319.6143
## 272 1.329615e-03 711.18 Feb 2005 55-69,99 958.1574
## 273 1.324611e-03 905.80 May 2005 70-249,99 1152.3122
## 274 1.323583e-03 704.45 Feb 2005 41-54,99 950.8665
## 275 1.319246e-03 1346.14 Mar 2008 55-69,99 1083.6104
## 276 1.318500e-03 902.88 Aug 2010 55-69,99 1171.5382
## 277 1.316351e-03 906.95 Apr 2011 55-69,99 1176.6533
## 278 1.310744e-03 886.06 Jan 2005 70-249,99 1131.2785
## 279 1.310452e-03 1470.18 Aug 2006 70-249,99 1218.7578
## 280 1.298826e-03 1280.71 Aug 2006 41-54,99 1030.4056
## 281 1.297605e-03 891.13 Oct 2010 41-54,99 1157.6510
## 282 1.283543e-03 903.54 Jun 2011 41-54,99 1169.8611
## 283 1.282276e-03 870.96 Apr 2010 41-54,99 1135.9020
## 284 1.279307e-03 1011.60 Sep 2013 10-29,99 1276.1071
## 285 1.266718e-03 1811.44 Dec 2016 70-249,99 1567.2479
## 286 1.263560e-03 1471.56 May 2007 70-249,99 1219.2331
## 287 1.262350e-03 1155.45 Aug 2012 70-249,99 1419.5204
## 288 1.262187e-03 947.69 Sep 2005 70-249,99 1188.3235
## 289 1.254929e-03 1325.53 Jun 2008 41-54,99 1069.4798
## 290 1.251681e-03 1654.12 Sep 2017 55-69,99 1408.7874
## 291 1.238412e-03 949.61 Nov 2012 30-40,99 1203.8671
## 292 1.234456e-03 1288.96 Jul 2008 30-40,99 1035.0071
## 293 1.230961e-03 890.69 Jul 2011 41-54,99 1151.4990
## 294 1.229057e-03 1740.04 May 2015 70-249,99 1486.9165
## 295 1.229057e-03 1740.04 May 2015 70-249,99 1486.9165
## 296 1.209576e-03 1753.70 Jul 2016 70-249,99 1507.1533
## 297 1.203354e-03 1802.30 Sep 2016 70-249,99 1556.3883
## 298 1.197821e-03 854.16 Jan 2010 41-54,99 1110.2284
## 299 1.192855e-03 904.34 Jan 2012 30-40,99 1161.0387
## 300 1.183331e-03 1620.90 Aug 2017 30-40,99 1382.3598
## 301 1.174678e-03 1319.36 May 2008 55-69,99 1071.6321
## 302 1.173857e-03 943.02 Aug 2011 41-54,99 1197.7078
## 303 1.138787e-03 1593.69 Feb 2017 55-69,99 1359.6826
## 304 1.128832e-03 1264.45 Oct 2006 55-69,99 1031.1001
## 305 1.126898e-03 937.71 Jun 2012 30-40,99 1187.2109
## 306 1.122569e-03 934.93 Mar 2011 55-69,99 1183.9917
## 307 1.109176e-03 1583.49 Sep 2015 10-29,99 1343.0279
## 308 1.109176e-03 1583.49 Sep 2015 10-29,99 1343.0279
## 309 1.103145e-03 1497.40 Apr 2008 70-249,99 1257.3334
## 310 1.088674e-03 1101.88 Oct 2010 70-249,99 1346.0031
## 311 1.084138e-03 719.91 Jan 2005 41-54,99 942.9263
## 312 1.083359e-03 868.54 Mar 2009 41-54,99 1109.7800
## 313 1.079467e-03 1637.78 Sep 2017 10-29,99 1409.9488
## 314 1.074328e-03 947.46 Oct 2011 41-54,99 1191.1114
## 315 1.071186e-03 1576.31 Aug 2015 10-29,99 1340.0018
## 316 1.071186e-03 1576.31 Aug 2015 10-29,99 1340.0018
## 317 1.070297e-03 957.54 Sep 2011 41-54,99 1200.7339
## 318 1.059055e-03 1116.30 Jun 2011 70-249,99 1358.2133
## 319 1.053677e-03 983.89 Dec 2011 55-69,99 1218.8844
## 320 1.049617e-03 977.29 Sep 2012 30-40,99 1218.0837
## 321 1.043341e-03 1756.79 Jan 2017 70-249,99 1532.8036
## 322 1.037233e-03 978.44 Dec 2011 41-54,99 1211.5936
## 323 1.036842e-03 1068.28 Feb 2010 70-249,99 1306.5209
## 324 1.036543e-03 896.06 Jul 2011 30-40,99 1135.3884
## 325 1.034677e-03 866.67 Nov 2008 10-29,99 1094.5883
## 326 1.031024e-03 906.12 Jun 2010 55-69,99 1143.6915
## 327 1.029394e-03 1031.60 Nov 2013 10-29,99 1261.8905
## 328 1.028599e-03 1051.09 May 2009 70-249,99 1286.1539
## 329 1.020715e-03 929.67 Nov 2010 55-69,99 1160.3477
## 330 1.016744e-03 1581.56 Dec 2016 30-40,99 1362.7851
## 331 1.012312e-03 1283.34 Jun 2008 30-40,99 1053.3692
## 332 1.006571e-03 1222.91 Jun 2006 41-54,99 1002.5590
## 333 1.001857e-03 1150.77 Aug 2011 70-249,99 1386.0600
## 334 9.843878e-04 1140.12 Jul 2012 70-249,99 1373.3116
## 335 9.843449e-04 867.85 May 2009 41-54,99 1097.8017
## 336 9.818604e-04 792.00 Aug 2005 55-69,99 1004.2360
## 337 9.814184e-04 763.75 Mar 2005 41-54,99 975.9383
## 338 9.811518e-04 1202.39 Jan 2006 10-29,99 984.8390
## 339 9.763324e-04 1438.80 Sep 2006 70-249,99 1221.7840
## 340 9.683992e-04 874.36 Apr 2009 41-54,99 1102.4416
## 341 9.671493e-04 1200.32 Feb 2006 41-54,99 984.3270
## 342 9.664003e-04 912.60 Jan 2011 41-54,99 1143.6889
## 343 9.654422e-04 1207.29 Jul 2006 55-69,99 991.4877
## 344 9.609411e-04 1613.43 Aug 2017 41-54,99 1398.4704
## 345 9.457849e-04 776.09 Mar 2005 10-29,99 984.3906
## 346 9.454782e-04 999.61 Feb 2013 10-29,99 1227.0023
## 347 9.404353e-04 956.66 Sep 2011 30-40,99 1184.6233
## 348 9.366016e-04 1031.23 Dec 2012 55-69,99 1252.3449
## 349 9.347906e-04 1280.56 Jul 2008 10-29,99 1059.5700
## 350 9.309727e-04 1485.21 Mar 2008 70-249,99 1264.6718
## 351 9.254374e-04 901.44 Jan 2011 30-40,99 1127.5782
## 352 9.225991e-04 1213.02 Apr 2006 41-54,99 1002.0603
## 353 9.209414e-04 977.77 Jun 2012 41-54,99 1203.3216
## 354 9.123510e-04 1276.73 Jul 2008 55-69,99 1058.4085
## 355 9.044826e-04 1301.62 Sep 2008 30-40,99 1084.2420
## 356 9.040486e-04 927.47 Jan 2011 55-69,99 1150.9797
## 357 9.040322e-04 767.60 May 2005 55-69,99 971.2508
## 358 8.988724e-04 1009.03 Oct 2012 55-69,99 1231.8627
## 359 8.986825e-04 982.25 Aug 2005 70-249,99 1185.2974
## 360 8.978774e-04 954.44 Jan 2012 41-54,99 1177.1493
## 361 8.943288e-04 970.02 Nov 2011 41-54,99 1186.5173
## 362 8.855118e-04 905.29 Feb 2010 55-69,99 1125.4595
## 363 8.773307e-04 892.64 Apr 2009 55-69,99 1109.7324
## 364 8.740097e-04 957.21 Jun 2005 70-249,99 1157.4507
## 365 8.718450e-04 1031.72 Dec 2012 41-54,99 1245.0540
## 366 8.699154e-04 1575.95 Oct 2016 10-29,99 1366.8658
## 367 8.693592e-04 1454.92 Oct 2007 70-249,99 1245.6219
## 368 8.648518e-04 1532.27 Jan 2017 30-40,99 1328.3408
## 369 8.567367e-04 778.80 Apr 2005 10-29,99 977.0522
## 370 8.540083e-04 1022.42 Aug 2012 10-29,99 1239.6205
## 371 8.411249e-04 1198.85 May 2006 41-54,99 997.4204
## 372 8.354508e-04 1584.50 Dec 2016 55-69,99 1386.1866
## 373 8.353287e-04 1674.56 Jan 2015 70-249,99 1465.8828
## 374 8.353287e-04 1674.56 Jan 2015 70-249,99 1465.8828
## 375 8.343235e-04 1238.31 Aug 2006 55-69,99 1037.6965
## 376 8.317350e-04 970.61 Jul 2012 41-54,99 1184.9594
## 377 8.290345e-04 997.68 Jan 2013 41-54,99 1210.6097
## 378 8.267801e-04 994.28 Sep 2011 55-69,99 1208.0248
## 379 8.226579e-04 1258.43 Jul 2008 41-54,99 1051.1177
## 380 8.170220e-04 1013.46 Nov 2012 41-54,99 1219.9777
## 381 8.124683e-04 779.35 May 2005 10-29,99 972.4123
## 382 8.103692e-04 1702.42 Dec 2014 70-249,99 1500.3271
## 383 8.103692e-04 1702.42 Dec 2014 70-249,99 1500.3271
## 384 8.100071e-04 1008.59 Jan 2013 10-29,99 1219.0620
## 385 8.073091e-04 1215.19 Mar 2006 10-29,99 1017.8510
## 386 8.052540e-04 974.18 Feb 2012 41-54,99 1185.0896
## 387 8.045842e-04 1013.75 Oct 2012 41-54,99 1224.5718
## 388 7.986516e-04 886.54 Mar 2009 30-40,99 1093.6694
## 389 7.925512e-04 1531.37 Jul 2017 30-40,99 1336.1510
## 390 7.892828e-04 1735.56 Feb 2017 70-249,99 1540.7439
## 391 7.807748e-04 1030.78 Aug 2012 55-69,99 1238.4591
## 392 7.794908e-04 1023.66 Aug 2012 41-54,99 1231.1682
## 393 7.775743e-04 1578.12 Mar 2017 55-69,99 1384.7543
## 394 7.767447e-04 1282.66 Aug 2008 30-40,99 1081.2159
## 395 7.764299e-04 985.28 Feb 2012 55-69,99 1192.3804
## 396 7.752267e-04 738.23 Jan 2005 30-40,99 926.8157
## 397 7.732653e-04 913.26 Mar 2009 55-69,99 1117.0708
## 398 7.677176e-04 1035.55 Sep 2012 55-69,99 1241.4852
## 399 7.634176e-04 1067.59 Aug 2013 55-69,99 1271.9195
## 400 7.618448e-04 1062.82 Jan 2009 70-249,99 1265.1202
## 401 7.498502e-04 1235.56 Dec 2012 70-249,99 1433.4062
## 402 7.495404e-04 962.38 Oct 2010 55-69,99 1164.9418
## 403 7.494795e-04 1042.28 Apr 2013 10-29,99 1244.7356
## 404 7.482701e-04 981.13 Jan 2012 55-69,99 1184.4401
## 405 7.478188e-04 965.60 Jul 2012 30-40,99 1168.8488
## 406 7.449190e-04 1031.34 Sep 2012 41-54,99 1234.1944
## 407 7.435180e-04 766.69 Jan 2005 10-29,99 951.3786
## 408 7.353207e-04 776.16 Mar 2005 30-40,99 959.8277
## 409 7.335219e-04 1540.07 Jul 2017 41-54,99 1352.2616
## 410 7.204383e-04 1542.73 Mar 2016 10-29,99 1352.4553
## 411 7.147885e-04 1562.33 Dec 2016 41-54,99 1378.8958
## 412 7.126072e-04 1022.76 Apr 2013 30-40,99 1220.1727
## 413 7.098233e-04 816.49 Aug 2005 41-54,99 996.9452
## 414 7.091382e-04 1516.03 Jul 2016 10-29,99 1327.2534
## 415 7.025418e-04 778.50 Jul 2005 55-69,99 958.0272
## 416 7.008261e-04 1268.78 Apr 2008 10-29,99 1077.4335
## 417 7.000002e-04 1068.97 Aug 2013 41-54,99 1264.6287
## 418 6.981616e-04 1543.56 Nov 2016 10-29,99 1362.2718
## 419 6.919405e-04 1541.96 Jul 2017 55-69,99 1359.5524
## 420 6.847145e-04 1735.29 May 2017 70-249,99 1553.8374
## 421 6.839711e-04 1566.74 Sep 2017 30-40,99 1385.3859
## 422 6.808195e-04 1503.77 Jul 2016 41-54,99 1318.8011
## 423 6.781639e-04 1288.58 Sep 2008 41-54,99 1100.3526
## 424 6.733967e-04 1557.42 Aug 2016 10-29,99 1373.4622
## 425 6.733243e-04 1737.31 Aug 2016 70-249,99 1553.3621
## 426 6.677837e-04 1485.88 Jul 2016 30-40,99 1302.6905
## 427 6.663759e-04 980.12 May 2011 55-69,99 1172.0134
## 428 6.586793e-04 1188.10 Jun 2006 55-69,99 1009.8498
## 429 6.575932e-04 1162.30 Jul 2006 41-54,99 984.1968
## 430 6.553081e-04 1469.65 Jan 2015 55-69,99 1284.8214
## 431 6.553081e-04 1469.65 Jan 2015 55-69,99 1284.8214
## 432 6.497969e-04 1210.45 Jan 2013 70-249,99 1398.9619
## 433 6.434588e-04 898.14 Jan 2009 55-69,99 1084.0588
## 434 6.414466e-04 970.52 Jul 2011 55-69,99 1158.7898
## 435 6.408311e-04 1387.98 Oct 2006 70-249,99 1212.1614
## 436 6.403784e-04 804.49 Apr 2005 55-69,99 975.8907
## 437 6.376268e-04 1476.75 Mar 2015 30-40,99 1294.4320
## 438 6.376268e-04 1476.75 Mar 2015 30-40,99 1294.4320
## 439 6.304433e-04 764.69 Feb 2005 30-40,99 934.7559
## 440 6.287648e-04 806.55 Jun 2005 55-69,99 976.3894
## 441 6.269089e-04 799.51 Jun 2005 41-54,99 969.0985
## 442 6.228688e-04 1553.41 Sep 2016 10-29,99 1376.4884
## 443 6.224651e-04 1013.19 Nov 2011 55-69,99 1193.8082
## 444 6.218232e-04 783.59 Apr 2005 30-40,99 952.4893
## 445 6.202137e-04 1652.05 Nov 2014 70-249,99 1475.2508
## 446 6.202137e-04 1652.05 Nov 2014 70-249,99 1475.2508
## 447 6.158224e-04 1670.73 Apr 2015 70-249,99 1491.5564
## 448 6.158224e-04 1670.73 Apr 2015 70-249,99 1491.5564
## 449 6.150207e-04 1652.88 Feb 2015 70-249,99 1473.8230
## 450 6.150207e-04 1652.88 Feb 2015 70-249,99 1473.8230
## 451 6.148895e-04 1025.86 Mar 2012 41-54,99 1210.1613
## 452 6.145040e-04 886.91 Feb 2009 30-40,99 1068.5976
## 453 6.110923e-04 923.91 May 2009 55-69,99 1105.0926
## 454 6.092849e-04 1283.03 Aug 2008 55-69,99 1104.6173
## 455 6.049204e-04 1542.39 Sep 2016 41-54,99 1368.0361
## 456 6.001520e-04 798.03 May 2005 41-54,99 963.9600
## 457 5.926196e-04 988.40 Apr 2011 41-54,99 1169.3625
## 458 5.866551e-04 1224.60 Dec 2011 70-249,99 1399.9458
## 459 5.863832e-04 1573.68 Aug 2017 55-69,99 1405.7612
## 460 5.860991e-04 1283.79 Sep 2008 10-29,99 1108.8049
## 461 5.745415e-04 917.48 Feb 2009 10-29,99 1093.1606
## 462 5.562495e-04 1022.89 May 2012 41-54,99 1198.1830
## 463 5.558525e-04 1499.77 Feb 2017 30-40,99 1336.2811
## 464 5.483552e-04 1167.35 May 2006 55-69,99 1004.7113
## 465 5.461199e-04 1045.73 Feb 2013 41-54,99 1218.5500
## 466 5.460571e-04 913.95 Jan 2009 10-29,99 1085.2203
## 467 5.417083e-04 1539.31 Jun 2017 55-69,99 1377.9146
## 468 5.409812e-04 1032.10 Aug 2011 55-69,99 1204.9986
## 469 5.381543e-04 1170.47 Apr 2006 55-69,99 1009.3511
## 470 5.374901e-04 1023.05 Jan 2013 30-40,99 1194.4991
## 471 5.374256e-04 1193.20 Jan 2012 70-249,99 1365.5015
## 472 5.369481e-04 1491.65 Feb 2016 10-29,99 1327.3836
## 473 5.337654e-04 1038.40 Apr 2012 55-69,99 1210.1137
## 474 5.250984e-04 819.03 Oct 2005 30-40,99 974.2382
## 475 5.144897e-04 1506.41 Jun 2016 10-29,99 1345.6156
## 476 5.006197e-04 1078.11 Apr 2013 55-69,99 1243.5742
## 477 5.005629e-04 1212.90 Nov 2011 70-249,99 1374.8695
## 478 4.983928e-04 817.39 Apr 2005 41-54,99 968.5999
## 479 4.967390e-04 1744.40 Sep 2017 70-249,99 1589.8487
## 480 4.899183e-04 1530.95 Mar 2017 41-54,99 1377.4634
## 481 4.886218e-04 1038.97 Feb 2013 30-40,99 1202.4394
## 482 4.812730e-04 1657.29 Mar 2015 70-249,99 1498.8948
## 483 4.812730e-04 1657.29 Mar 2015 70-249,99 1498.8948
## 484 4.768163e-04 1228.88 Apr 2012 70-249,99 1391.1751
## 485 4.606723e-04 1514.32 May 2017 41-54,99 1365.4852
## 486 4.567660e-04 1463.06 Aug 2014 10-29,99 1306.5414
## 487 4.567660e-04 1463.06 Aug 2014 10-29,99 1306.5414
## 488 4.552627e-04 1060.11 Jan 2013 55-69,99 1217.9006
## 489 4.520085e-04 1136.87 Dec 2005 30-40,99 994.7204
## 490 4.516412e-04 1086.46 Mar 2013 41-54,99 1243.6217
## 491 4.470480e-04 1733.44 Aug 2017 70-249,99 1586.8226
## 492 4.464144e-04 1548.01 Sep 2017 41-54,99 1401.4965
## 493 4.429400e-04 1062.19 Mar 2012 10-29,99 1218.6136
## 494 4.423123e-04 847.90 Oct 2005 41-54,99 990.3488
## 495 4.414703e-04 1049.31 May 2012 55-69,99 1205.4739
## 496 4.401820e-04 1513.74 Aug 2016 41-54,99 1365.0099
## 497 4.395087e-04 1266.73 Sep 2012 70-249,99 1422.5465
## 498 4.389972e-04 1184.10 Jul 2011 70-249,99 1339.8512
## 499 4.389854e-04 1235.95 Jun 2012 70-249,99 1391.6737
## 500 4.334608e-04 1078.52 Dec 2012 30-40,99 1228.9434
## 501 4.314257e-04 1452.06 Oct 2014 10-29,99 1299.9450
## 502 4.314257e-04 1452.06 Oct 2014 10-29,99 1299.9450
## 503 4.311451e-04 1504.83 Feb 2017 10-29,99 1360.8440
## 504 4.311197e-04 1335.12 Jun 2006 70-249,99 1190.9112
## 505 4.303730e-04 1104.36 Jan 2006 30-40,99 960.2761
## 506 4.283950e-04 1684.18 Nov 2016 70-249,99 1542.1717
## 507 4.282501e-04 1138.43 Dec 2013 10-29,99 1286.9668
## 508 4.243976e-04 1122.07 Feb 2009 70-249,99 1273.0605
## 509 4.238181e-04 1448.76 Feb 2016 30-40,99 1302.8207
## 510 4.089191e-04 1494.24 Apr 2017 30-40,99 1354.0144
## 511 3.937233e-04 1486.97 May 2017 30-40,99 1349.3746
## 512 3.928843e-04 1104.33 Mar 2013 55-69,99 1250.9126
## 513 3.925365e-04 1152.92 Mar 2009 70-249,99 1298.1322
## 514 3.914712e-04 1143.79 Dec 2013 55-69,99 1285.8053
## 515 3.891310e-04 1045.09 Oct 2005 70-249,99 1178.7010
## 516 3.847030e-04 1633.67 Jun 2015 70-249,99 1492.0550
## 517 3.847030e-04 1633.67 Jun 2015 70-249,99 1492.0550
## 518 3.837189e-04 1006.41 Jul 2005 70-249,99 1139.0886
## 519 3.767842e-04 1311.30 May 2014 70-249,99 1453.4561
## 520 3.767842e-04 1311.30 May 2014 70-249,99 1453.4561
## 521 3.745277e-04 1486.09 Aug 2016 30-40,99 1348.8993
## 522 3.727381e-04 819.97 Jul 2005 41-54,99 950.7364
## 523 3.718358e-04 1094.18 Jun 2013 41-54,99 1236.7820
## 524 3.714827e-04 1209.80 May 2011 70-249,99 1353.0748
## 525 3.685596e-04 919.95 Jan 2009 30-40,99 1060.6574
## 526 3.685075e-04 877.24 Sep 2005 55-69,99 1007.2622
## 527 3.660018e-04 818.27 May 2005 30-40,99 947.8494
## 528 3.654264e-04 1212.79 Oct 2008 30-40,99 1074.6195
## 529 3.649277e-04 1484.86 Feb 2017 41-54,99 1352.3917
## 530 3.593959e-04 1232.54 Feb 2012 70-249,99 1373.4417
## 531 3.543862e-04 1100.88 May 2013 10-29,99 1240.0958
## 532 3.415148e-04 872.47 Oct 2005 55-69,99 997.6396
## 533 3.408499e-04 1090.98 Mar 2013 30-40,99 1227.5111
## 534 3.398758e-04 1119.66 Feb 2006 55-69,99 991.6178
## 535 3.385438e-04 1238.77 Aug 2008 10-29,99 1105.7788
## 536 3.380599e-04 1076.25 Dec 2005 70-249,99 1199.1832
## 537 3.374685e-04 1271.05 Feb 2013 70-249,99 1406.9022
## 538 3.354912e-04 1075.14 Apr 2012 10-29,99 1211.2752
## 539 3.309552e-04 1133.12 Sep 2013 41-54,99 1267.6548
## 540 3.307744e-04 1114.02 Aug 2013 30-40,99 1248.5180
## 541 3.278109e-04 1117.65 Sep 2013 30-40,99 1251.5442
## 542 3.258147e-04 1446.24 Jan 2016 55-69,99 1318.2819
## 543 3.217636e-04 1634.14 Nov 2015 70-249,99 1508.7112
## 544 3.217636e-04 1634.14 Nov 2015 70-249,99 1508.7112
## 545 3.152860e-04 1089.36 Jun 2013 30-40,99 1220.6714
## 546 3.143557e-04 1220.73 Dec 2008 30-40,99 1095.1017
## 547 3.123860e-04 1112.38 Nov 2005 10-29,99 994.2070
## 548 3.119138e-04 1224.98 Aug 2008 41-54,99 1097.3265
## 549 3.093922e-04 1475.72 Dec 2015 55-69,99 1352.7262
## 550 3.093922e-04 1475.72 Dec 2015 55-69,99 1352.7262
## 551 3.087221e-04 1631.84 Feb 2016 70-249,99 1507.2835
## 552 3.050164e-04 1460.97 Jun 2016 41-54,99 1337.1633
## 553 3.047519e-04 859.31 Jun 2005 10-29,99 977.5508
## 554 3.025045e-04 1439.21 May 2016 30-40,99 1315.9141
## 555 3.023850e-04 1216.64 Nov 2008 55-69,99 1093.4269
## 556 2.999611e-04 1481.19 Oct 2016 41-54,99 1358.4135
## 557 2.973535e-04 1490.20 Jun 2017 41-54,99 1370.6237
## 558 2.964415e-04 888.78 Aug 2005 10-29,99 1005.3975
## 559 2.924311e-04 1486.93 Oct 2016 55-69,99 1365.7044
## 560 2.898266e-04 1564.91 Jul 2014 70-249,99 1440.2325
## 561 2.898266e-04 1564.91 Jul 2014 70-249,99 1440.2325
## 562 2.881835e-04 1084.44 Jun 2012 55-69,99 1210.6124
## 563 2.860152e-04 1220.26 Oct 2008 55-69,99 1098.0209
## 564 2.848052e-04 1471.56 Sep 2016 30-40,99 1351.9255
## 565 2.839484e-04 1440.66 Mar 2015 10-29,99 1318.9949
## 566 2.839484e-04 1440.66 Mar 2015 10-29,99 1318.9949
## 567 2.834010e-04 1126.32 Mar 2006 41-54,99 1009.3987
## 568 2.808992e-04 1308.03 Mar 2013 70-249,99 1431.9739
## 569 2.796112e-04 845.93 Jul 2005 10-29,99 959.1887
## 570 2.795611e-04 1444.62 Jul 2016 55-69,99 1326.0920
## 571 2.789775e-04 1078.79 Jul 2013 30-40,99 1202.3092
## 572 2.769708e-04 1274.82 Mar 2012 70-249,99 1398.5135
## 573 2.747580e-04 1454.17 Apr 2016 41-54,99 1336.6646
## 574 2.706819e-04 1648.83 Dec 2015 70-249,99 1533.7875
## 575 2.706819e-04 1648.83 Dec 2015 70-249,99 1533.7875
## 576 2.695749e-04 1097.00 Jul 2013 41-54,99 1218.4199
## 577 2.670613e-04 1194.89 Jun 2008 55-69,99 1076.7707
## 578 2.666349e-04 1064.93 Nov 2005 70-249,99 1174.1069
## 579 2.637205e-04 1305.04 Jun 2013 70-249,99 1425.1342
## 580 2.627844e-04 1105.96 Feb 2013 55-69,99 1225.8408
## 581 2.622986e-04 1466.82 Jun 2017 30-40,99 1354.5131
## 582 2.616015e-04 1110.41 Nov 2012 55-69,99 1227.2686
## 583 2.546856e-04 1079.77 Oct 2011 55-69,99 1198.4022
## 584 2.519939e-04 1425.11 Apr 2015 55-69,99 1310.4950
## 585 2.519939e-04 1425.11 Apr 2015 55-69,99 1310.4950
## 586 2.473771e-04 1610.84 Jan 2016 70-249,99 1499.3432
## 587 2.471015e-04 1479.13 Apr 2017 41-54,99 1370.1250
## 588 2.469766e-04 1296.12 Oct 2012 70-249,99 1412.9240
## 589 2.458944e-04 1122.97 May 2013 55-69,99 1238.9343
## 590 2.444301e-04 1485.83 Apr 2017 55-69,99 1377.4159
## 591 2.438236e-04 1486.02 Sep 2016 55-69,99 1375.3269
## 592 2.435191e-04 1128.67 Jun 2013 55-69,99 1244.0728
## 593 2.426796e-04 1455.55 Apr 2016 10-29,99 1345.1169
## 594 2.422846e-04 1298.52 Apr 2006 70-249,99 1190.4125
## 595 2.421135e-04 992.21 May 2009 10-29,99 1106.2540
## 596 2.391964e-04 1468.60 Mar 2017 30-40,99 1361.3528
## 597 2.389621e-04 1521.09 Jul 2013 70-249,99 1406.7720
## 598 2.362311e-04 1101.87 May 2013 30-40,99 1215.5328
## 599 2.354974e-04 1380.03 Jul 2015 30-40,99 1269.2301
## 600 2.354974e-04 1380.03 Jul 2015 30-40,99 1269.2301
## 601 2.354906e-04 1403.56 Feb 2015 55-69,99 1292.7617
## 602 2.354906e-04 1403.56 Feb 2015 55-69,99 1292.7617
## 603 2.227486e-04 1131.55 Oct 2013 30-40,99 1241.9216
## 604 2.174049e-04 1152.35 Jul 2014 10-29,99 1260.3326
## 605 2.174049e-04 1152.35 Jul 2014 10-29,99 1260.3326
## 606 2.156749e-04 1432.00 Mar 2016 30-40,99 1327.8924
## 607 2.144337e-04 1248.86 Apr 2011 70-249,99 1357.7146
## 608 2.138804e-04 1195.94 Dec 2008 70-249,99 1299.5645
## 609 2.134777e-04 1287.25 May 2006 70-249,99 1185.7726
## 610 2.125597e-04 1403.83 May 2015 41-54,99 1298.5643
## 611 2.125597e-04 1403.83 May 2015 41-54,99 1298.5643
## 612 2.028027e-04 1621.33 May 2016 70-249,99 1520.3769
## 613 2.024053e-04 1167.87 Aug 2013 10-29,99 1273.0810
## 614 2.015650e-04 1626.16 Jun 2016 70-249,99 1525.5155
## 615 1.945053e-04 1387.33 Sep 2014 70-249,99 1489.4674
## 616 1.945053e-04 1387.33 Sep 2014 70-249,99 1489.4674
## 617 1.923840e-04 1133.71 Apr 2013 41-54,99 1236.2833
## 618 1.920814e-04 1417.90 Mar 2015 55-69,99 1317.8334
## 619 1.920814e-04 1417.90 Mar 2015 55-69,99 1317.8334
## 620 1.879959e-04 1423.42 Feb 2016 55-69,99 1326.2221
## 621 1.865242e-04 1416.26 Jan 2016 10-29,99 1319.4433
## 622 1.856795e-04 888.54 Aug 2005 30-40,99 980.8346
## 623 1.834201e-04 1659.73 Mar 2017 70-249,99 1565.8156
## 624 1.817741e-04 1188.18 Oct 2008 41-54,99 1090.7301
## 625 1.800366e-04 909.09 Sep 2005 41-54,99 999.9713
## 626 1.789374e-04 1204.33 Sep 2008 55-69,99 1107.6435
## 627 1.787789e-04 1426.81 May 2016 41-54,99 1332.0247
## 628 1.710092e-04 1614.32 Aug 2015 70-249,99 1519.9017
## 629 1.710092e-04 1614.32 Aug 2015 70-249,99 1519.9017
## 630 1.699200e-04 1380.10 Jan 2015 10-29,99 1285.9829
## 631 1.699200e-04 1380.10 Jan 2015 10-29,99 1285.9829
## 632 1.694558e-04 1262.96 Jul 2006 70-249,99 1172.5490
## 633 1.682598e-04 1348.63 Apr 2014 30-40,99 1253.6331
## 634 1.682598e-04 1348.63 Apr 2014 30-40,99 1253.6331
## 635 1.678958e-04 1399.41 May 2015 55-69,99 1305.8552
## 636 1.678958e-04 1399.41 May 2015 55-69,99 1305.8552
## 637 1.639729e-04 1629.41 Jul 2017 70-249,99 1540.6138
## 638 1.605248e-04 1410.37 Apr 2016 30-40,99 1320.5540
## 639 1.599037e-04 1172.97 Oct 2013 10-29,99 1266.4846
## 640 1.590549e-04 1447.64 Nov 2016 55-69,99 1361.1103
## 641 1.557370e-04 1172.83 Dec 2013 30-40,99 1262.4038
## 642 1.543959e-04 1645.14 Jun 2017 70-249,99 1558.9759
## 643 1.518659e-04 1161.76 Feb 2014 41-54,99 1252.0104
## 644 1.518659e-04 1161.76 Feb 2014 41-54,99 1252.0104
## 645 1.505431e-04 1405.91 Feb 2016 41-54,99 1318.9313
## 646 1.488784e-04 1002.57 Feb 2009 55-69,99 1091.9991
## 647 1.487873e-04 1051.20 Nov 2005 30-40,99 969.6441
## 648 1.482815e-04 870.51 Jun 2005 30-40,99 952.9879
## 649 1.479780e-04 995.55 Feb 2009 41-54,99 1084.7083
## 650 1.472103e-04 1483.30 Oct 2017 55-69,99 1399.1648
## 651 1.464536e-04 1458.09 Aug 2016 55-69,99 1372.3008
## 652 1.453045e-04 1142.50 May 2013 41-54,99 1231.6435
## 653 1.447466e-04 1137.90 Jul 2013 10-29,99 1226.8722
## 654 1.419572e-04 1137.60 Jul 2013 55-69,99 1225.7107
## 655 1.391885e-04 1630.40 Oct 2016 70-249,99 1546.7657
## 656 1.363856e-04 1369.90 Mar 2014 55-69,99 1284.3730
## 657 1.363856e-04 1369.90 Mar 2014 55-69,99 1284.3730
## 658 1.356080e-04 1369.42 Jul 2015 41-54,99 1285.3407
## 659 1.356080e-04 1369.42 Jul 2015 41-54,99 1285.3407
## 660 1.339414e-04 1097.07 Mar 2006 55-69,99 1016.6895
## 661 1.317970e-04 1360.42 Jan 2015 41-54,99 1277.5306
## 662 1.317970e-04 1360.42 Jan 2015 41-54,99 1277.5306
## 663 1.297216e-04 1326.04 Nov 2012 70-249,99 1408.3299
## 664 1.283566e-04 1302.33 May 2012 70-249,99 1386.5352
## 665 1.280113e-04 1369.31 Aug 2013 70-249,99 1452.9808
## 666 1.254680e-04 1341.80 Apr 2013 70-249,99 1424.6355
## 667 1.245102e-04 1568.16 Aug 2014 70-249,99 1486.4413
## 668 1.245102e-04 1568.16 Aug 2014 70-249,99 1486.4413
## 669 1.229980e-04 1593.38 Oct 2015 70-249,99 1513.3053
## 670 1.229980e-04 1593.38 Oct 2015 70-249,99 1513.3053
## 671 1.219081e-04 1307.01 Sep 2011 70-249,99 1389.0861
## 672 1.212044e-04 1417.36 May 2016 55-69,99 1339.3156
## 673 1.211316e-04 860.08 Jul 2005 30-40,99 934.6258
## 674 1.208063e-04 1429.21 Mar 2016 55-69,99 1351.2939
## 675 1.195515e-04 1391.10 Jun 2015 10-29,99 1312.1551
## 676 1.195515e-04 1391.10 Jun 2015 10-29,99 1312.1551
## 677 1.143280e-04 1199.89 Apr 2014 10-29,99 1278.1961
## 678 1.143280e-04 1199.89 Apr 2014 10-29,99 1278.1961
## 679 1.098050e-04 1368.29 Jul 2015 55-69,99 1292.6316
## 680 1.098050e-04 1368.29 Jul 2015 55-69,99 1292.6316
## 681 1.095558e-04 1178.31 Nov 2013 41-54,99 1253.4382
## 682 1.082207e-04 1186.06 Nov 2013 55-69,99 1260.7290
## 683 1.075389e-04 1598.53 Apr 2016 70-249,99 1525.0168
## 684 1.059765e-04 1361.92 Jun 2015 30-40,99 1287.5922
## 685 1.059765e-04 1361.92 Jun 2015 30-40,99 1287.5922
## 686 1.047650e-04 1391.93 Nov 2015 41-54,99 1320.3590
## 687 1.047650e-04 1391.93 Nov 2015 41-54,99 1320.3590
## 688 1.043831e-04 1398.72 Oct 2015 41-54,99 1324.9531
## 689 1.043831e-04 1398.72 Oct 2015 41-54,99 1324.9531
## 690 1.022141e-04 1360.09 Apr 2015 30-40,99 1287.0936
## 691 1.022141e-04 1360.09 Apr 2015 30-40,99 1287.0936
## 692 1.021802e-04 1407.56 Sep 2015 41-54,99 1334.5756
## 693 1.021802e-04 1407.56 Sep 2015 41-54,99 1334.5756
## 694 9.452476e-05 1543.89 Jul 2015 70-249,99 1473.6929
## 695 9.452476e-05 1543.89 Jul 2015 70-249,99 1473.6929
## 696 9.359897e-05 1327.76 Jun 2008 70-249,99 1257.8320
## 697 9.086969e-05 929.31 Nov 2005 55-69,99 993.0456
## 698 8.858567e-05 1400.20 Oct 2015 55-69,99 1332.2440
## 699 8.858567e-05 1400.20 Oct 2015 55-69,99 1332.2440
## 700 8.793355e-05 1393.22 Nov 2015 55-69,99 1327.6499
## 701 8.793355e-05 1393.22 Nov 2015 55-69,99 1327.6499
## 702 8.780950e-05 1204.93 May 2014 10-29,99 1273.5562
## 703 8.780950e-05 1204.93 May 2014 10-29,99 1273.5562
## 704 8.738874e-05 1377.26 Jan 2016 41-54,99 1310.9910
## 705 8.269515e-05 1596.82 Mar 2016 70-249,99 1532.3552
## 706 8.182679e-05 1208.05 Sep 2013 55-69,99 1274.9456
## 707 8.131162e-05 1125.23 Jul 2012 55-69,99 1192.2503
## 708 7.979617e-05 1313.06 Oct 2011 70-249,99 1379.4636
## 709 7.937841e-05 1216.73 Aug 2014 30-40,99 1281.9785
## 710 7.937841e-05 1216.73 Aug 2014 30-40,99 1281.9785
## 711 7.891531e-05 1342.14 Mar 2014 41-54,99 1277.0821
## 712 7.891531e-05 1342.14 Mar 2014 41-54,99 1277.0821
## 713 7.852493e-05 1358.26 Nov 2014 10-29,99 1295.3509
## 714 7.852493e-05 1358.26 Nov 2014 10-29,99 1295.3509
## 715 7.796977e-05 1407.05 Jun 2016 55-69,99 1344.4541
## 716 7.578788e-05 1131.71 Nov 2008 30-40,99 1070.0254
## 717 7.431250e-05 1377.68 Aug 2015 30-40,99 1315.4389
## 718 7.431250e-05 1377.68 Aug 2015 30-40,99 1315.4389
## 719 7.394690e-05 1201.73 Oct 2013 55-69,99 1265.3231
## 720 7.392439e-05 1528.58 Dec 2013 70-249,99 1466.8666
## 721 7.290077e-05 1165.43 Jan 2014 30-40,99 1227.9595
## 722 7.290077e-05 1165.43 Jan 2014 30-40,99 1227.9595
## 723 7.231002e-05 1527.71 Mar 2014 70-249,99 1465.4343
## 724 7.231002e-05 1527.71 Mar 2014 70-249,99 1465.4343
## 725 7.141256e-05 1394.42 Oct 2015 10-29,99 1333.4054
## 726 7.141256e-05 1394.42 Oct 2015 10-29,99 1333.4054
## 727 7.069201e-05 1400.08 May 2016 10-29,99 1340.4770
## 728 6.340395e-05 1400.45 Mar 2016 41-54,99 1344.0030
## 729 6.283483e-05 1375.54 Dec 2014 55-69,99 1319.2657
## 730 6.283483e-05 1375.54 Dec 2014 55-69,99 1319.2657
## 731 6.278593e-05 1063.52 Dec 2008 10-29,99 1119.6646
## 732 6.130091e-05 1612.77 Apr 2017 70-249,99 1558.4772
## 733 6.064275e-05 1359.43 Apr 2015 41-54,99 1303.2042
## 734 6.064275e-05 1359.43 Apr 2015 41-54,99 1303.2042
## 735 6.021920e-05 1349.28 Nov 2014 55-69,99 1294.1894
## 736 6.021920e-05 1349.28 Nov 2014 55-69,99 1294.1894
## 737 5.833260e-05 1172.62 Dec 2008 55-69,99 1118.5031
## 738 5.756884e-05 1120.75 Jun 2011 55-69,99 1177.1520
## 739 5.708488e-05 1214.91 Jun 2014 41-54,99 1270.2424
## 740 5.708488e-05 1214.91 Jun 2014 41-54,99 1270.2424
## 741 5.605566e-05 1060.89 Dec 2005 41-54,99 1010.8310
## 742 5.484356e-05 1332.93 Jun 2014 10-29,99 1278.6947
## 743 5.484356e-05 1332.93 Jun 2014 10-29,99 1278.6947
## 744 5.371671e-05 1247.44 Sep 2014 41-54,99 1301.1152
## 745 5.371671e-05 1247.44 Sep 2014 41-54,99 1301.1152
## 746 5.354886e-05 1371.30 Sep 2015 30-40,99 1318.4650
## 747 5.354886e-05 1371.30 Sep 2015 30-40,99 1318.4650
## 748 5.352565e-05 1364.48 Apr 2015 10-29,99 1311.6565
## 749 5.352565e-05 1364.48 Apr 2015 10-29,99 1311.6565
## 750 5.328517e-05 1394.05 Oct 2016 30-40,99 1342.3029
## 751 5.202953e-05 1313.50 Jan 2015 30-40,99 1261.4200
## 752 5.202953e-05 1313.50 Jan 2015 30-40,99 1261.4200
## 753 5.186405e-05 1355.70 Jun 2015 41-54,99 1303.7028
## 754 5.186405e-05 1355.70 Jun 2015 41-54,99 1303.7028
## 755 5.140590e-05 1345.56 Jul 2015 10-29,99 1293.7930
## 756 5.140590e-05 1345.56 Jul 2015 10-29,99 1293.7930
## 757 4.934760e-05 1256.96 Sep 2014 55-69,99 1308.4061
## 758 4.934760e-05 1256.96 Sep 2014 55-69,99 1308.4061
## 759 4.573794e-05 1027.20 Jan 2009 41-54,99 1076.7680
## 760 4.040968e-05 1354.74 Oct 2015 30-40,99 1308.8425
## 761 4.040968e-05 1354.74 Oct 2015 30-40,99 1308.8425
## 762 3.944228e-05 1389.35 Dec 2015 41-54,99 1345.4353
## 763 3.944228e-05 1389.35 Dec 2015 41-54,99 1345.4353
## 764 3.922541e-05 941.44 Sep 2005 30-40,99 983.8607
## 765 3.760866e-05 1230.47 Oct 2014 30-40,99 1275.3821
## 766 3.760866e-05 1230.47 Oct 2014 30-40,99 1275.3821
## 767 3.739954e-05 1396.65 Dec 2015 10-29,99 1353.8876
## 768 3.739954e-05 1396.65 Dec 2015 10-29,99 1353.8876
## 769 3.502957e-05 1278.41 Dec 2014 10-29,99 1320.4272
## 770 3.502957e-05 1278.41 Dec 2014 10-29,99 1320.4272
## 771 3.328348e-05 1124.67 Jan 2006 70-249,99 1164.7389
## 772 3.312486e-05 1016.36 Jan 2006 41-54,99 976.3867
## 773 3.288324e-05 1413.60 Sep 2013 70-249,99 1456.0070
## 774 3.278640e-05 1564.27 Sep 2015 70-249,99 1522.9278
## 775 3.278640e-05 1564.27 Sep 2015 70-249,99 1522.9278
## 776 3.113309e-05 1351.28 Jun 2015 55-69,99 1310.9937
## 777 3.113309e-05 1351.28 Jun 2015 55-69,99 1310.9937
## 778 3.097914e-05 1150.65 Dec 2008 41-54,99 1111.2123
## 779 2.919694e-05 1380.88 Sep 2015 55-69,99 1341.8665
## 780 2.919694e-05 1380.88 Sep 2015 55-69,99 1341.8665
## 781 2.898802e-05 1204.64 Jan 2014 41-54,99 1244.0701
## 782 2.898802e-05 1204.64 Jan 2014 41-54,99 1244.0701
## 783 2.885334e-05 1327.53 Sep 2008 70-249,99 1288.7048
## 784 2.627466e-05 1375.85 Aug 2015 55-69,99 1338.8404
## 785 2.627466e-05 1375.85 Aug 2015 55-69,99 1338.8404
## 786 2.559851e-05 1211.94 May 2014 30-40,99 1248.9933
## 787 2.559851e-05 1211.94 May 2014 30-40,99 1248.9933
## 788 2.496561e-05 1395.83 Jan 2014 70-249,99 1432.4223
## 789 2.496561e-05 1395.83 Jan 2014 70-249,99 1432.4223
## 790 2.431879e-05 985.15 Dec 2005 55-69,99 1018.1219
## 791 2.337671e-05 1261.54 Dec 2014 30-40,99 1295.8643
## 792 2.337671e-05 1261.54 Dec 2014 30-40,99 1295.8643
## 793 2.304686e-05 1222.53 Oct 2013 41-54,99 1258.0323
## 794 2.231421e-05 1237.80 May 2014 55-69,99 1272.3947
## 795 2.231421e-05 1237.80 May 2014 55-69,99 1272.3947
## 796 2.212762e-05 1205.35 Feb 2006 70-249,99 1172.6792
## 797 2.212028e-05 1405.39 May 2017 55-69,99 1372.7760
## 798 2.010632e-05 968.43 Oct 2005 10-29,99 998.8011
## 799 1.998795e-05 1301.64 Feb 2015 30-40,99 1269.3602
## 800 1.998795e-05 1301.64 Feb 2015 30-40,99 1269.3602
## 801 1.862954e-05 1351.65 Jun 2016 30-40,99 1321.0527
## 802 1.862584e-05 1362.71 Aug 2015 41-54,99 1331.5495
## 803 1.862584e-05 1362.71 Aug 2015 41-54,99 1331.5495
## 804 1.831177e-05 1609.90 Oct 2017 70-249,99 1580.2262
## 805 1.786878e-05 1283.48 Jan 2014 10-29,99 1252.5225
## 806 1.786878e-05 1283.48 Jan 2014 10-29,99 1252.5225
## 807 1.777145e-05 1340.98 Mar 2015 41-54,99 1310.5426
## 808 1.777145e-05 1340.98 Mar 2015 41-54,99 1310.5426
## 809 1.734363e-05 1315.78 Aug 2008 70-249,99 1285.6787
## 810 1.672729e-05 1389.75 May 2013 70-249,99 1419.9956
## 811 1.612250e-05 1250.06 Oct 2008 70-249,99 1279.0823
## 812 1.587590e-05 1265.08 Feb 2014 30-40,99 1235.8998
## 813 1.587590e-05 1265.08 Feb 2014 30-40,99 1235.8998
## 814 1.575215e-05 1298.81 Apr 2014 41-54,99 1269.7437
## 815 1.575215e-05 1298.81 Apr 2014 41-54,99 1269.7437
## 816 1.558438e-05 959.36 Nov 2005 41-54,99 985.7547
## 817 1.544747e-05 1475.45 Oct 2013 70-249,99 1446.3844
## 818 1.496389e-05 1207.44 Jul 2014 30-40,99 1235.7697
## 819 1.496389e-05 1207.44 Jul 2014 30-40,99 1235.7697
## 820 1.494551e-05 1339.42 Dec 2014 41-54,99 1311.9749
## 821 1.494551e-05 1339.42 Dec 2014 41-54,99 1311.9749
## 822 1.463090e-05 1263.48 Oct 2014 41-54,99 1291.4927
## 823 1.463090e-05 1263.48 Oct 2014 41-54,99 1291.4927
## 824 1.374911e-05 1304.19 Apr 2014 55-69,99 1277.0346
## 825 1.374911e-05 1304.19 Apr 2014 55-69,99 1277.0346
## 826 1.360260e-05 1312.10 Feb 2015 41-54,99 1285.4708
## 827 1.360260e-05 1312.10 Feb 2015 41-54,99 1285.4708
## 828 1.349285e-05 1320.92 Jan 2016 30-40,99 1294.8804
## 829 1.324008e-05 1369.75 Apr 2016 55-69,99 1343.9555
## 830 1.214319e-05 1007.88 Jan 2006 55-69,99 983.6775
## 831 1.154153e-05 1353.08 Dec 2015 30-40,99 1329.3247
## 832 1.154153e-05 1353.08 Dec 2015 30-40,99 1329.3247
## 833 1.134253e-05 1260.34 Sep 2014 30-40,99 1285.0046
## 834 1.134253e-05 1260.34 Sep 2014 30-40,99 1285.0046
## 835 1.083333e-05 1263.26 Jul 2008 70-249,99 1239.4699
## 836 1.075209e-05 1482.11 Apr 2014 70-249,99 1458.0959
## 837 1.075209e-05 1482.11 Apr 2014 70-249,99 1458.0959
## 838 1.015922e-05 1417.02 Feb 2014 70-249,99 1440.3626
## 839 1.015922e-05 1417.02 Feb 2014 70-249,99 1440.3626
## 840 9.682603e-06 1283.76 Mar 2014 30-40,99 1260.9715
## 841 9.682603e-06 1283.76 Mar 2014 30-40,99 1260.9715
## 842 8.949740e-06 1349.73 Nov 2015 10-29,99 1328.8113
## 843 8.949740e-06 1349.73 Nov 2015 10-29,99 1328.8113
## 844 8.778823e-06 1280.87 Jul 2014 55-69,99 1259.1711
## 845 8.778823e-06 1280.87 Jul 2014 55-69,99 1259.1711
## 846 7.805704e-06 1318.55 Aug 2014 41-54,99 1298.0891
## 847 7.805704e-06 1318.55 Aug 2014 41-54,99 1298.0891
## 848 7.333996e-06 1274.37 Feb 2015 10-29,99 1293.9231
## 849 7.333996e-06 1274.37 Feb 2015 10-29,99 1293.9231
## 850 7.011378e-06 1251.99 Nov 2014 30-40,99 1270.7880
## 851 7.011378e-06 1251.99 Nov 2014 30-40,99 1270.7880
## 852 6.620679e-06 1246.26 May 2014 41-54,99 1265.1039
## 853 6.620679e-06 1246.26 May 2014 41-54,99 1265.1039
## 854 6.571384e-06 1268.70 Nov 2014 41-54,99 1286.8986
## 855 6.571384e-06 1268.70 Nov 2014 41-54,99 1286.8986
## 856 6.020792e-06 1300.17 May 2015 30-40,99 1282.4537
## 857 6.020792e-06 1300.17 May 2015 30-40,99 1282.4537
## 858 5.275378e-06 1323.60 May 2015 10-29,99 1307.0166
## 859 5.275378e-06 1323.60 May 2015 10-29,99 1307.0166
## 860 4.852073e-06 1238.00 Jun 2014 30-40,99 1254.1318
## 861 4.852073e-06 1238.00 Jun 2014 30-40,99 1254.1318
## 862 4.833719e-06 1243.20 Feb 2014 55-69,99 1259.3013
## 863 4.833719e-06 1243.20 Feb 2014 55-69,99 1259.3013
## 864 4.818695e-06 1101.69 Nov 2008 41-54,99 1086.1360
## 865 4.702162e-06 1262.95 Dec 2013 41-54,99 1278.5145
## 866 4.540306e-06 1212.55 Mar 2006 70-249,99 1197.7509
## 867 2.823034e-06 1467.54 Oct 2014 70-249,99 1479.8449
## 868 2.823034e-06 1467.54 Oct 2014 70-249,99 1479.8449
## 869 2.573984e-06 1293.03 Nov 2015 30-40,99 1304.2484
## 870 2.573984e-06 1293.03 Nov 2015 30-40,99 1304.2484
## 871 2.513624e-06 1239.75 Jan 2014 55-69,99 1251.3610
## 872 2.513624e-06 1239.75 Jan 2014 55-69,99 1251.3610
## 873 2.145563e-06 1271.19 Feb 2014 10-29,99 1260.4627
## 874 2.145563e-06 1271.19 Feb 2014 10-29,99 1260.4627
## 875 1.743499e-06 1315.05 Aug 2014 55-69,99 1305.3799
## 876 1.743499e-06 1315.05 Aug 2014 55-69,99 1305.3799
## 877 1.376906e-06 1290.19 Oct 2014 55-69,99 1298.7835
## 878 1.376906e-06 1290.19 Oct 2014 55-69,99 1298.7835
## 879 1.330272e-06 1285.98 Jun 2014 55-69,99 1277.5333
## 880 1.330272e-06 1285.98 Jun 2014 55-69,99 1277.5333
## 881 1.067149e-06 1466.16 Jun 2014 70-249,99 1458.5946
## 882 1.067149e-06 1466.16 Jun 2014 70-249,99 1458.5946
## 883 8.201719e-07 1435.29 Nov 2013 70-249,99 1441.7904
## 884 7.906853e-07 1243.71 Nov 2013 30-40,99 1237.3276
## 885 2.694754e-07 1270.81 Nov 2008 70-249,99 1274.4882
## 886 1.222186e-07 1249.32 Jul 2014 41-54,99 1251.8803
## 887 1.222186e-07 1249.32 Jul 2014 41-54,99 1251.8803
## 888 7.430955e-08 1010.27 Sep 2005 10-29,99 1008.4236
## 889 4.987567e-08 1287.17 Mar 2014 10-29,99 1285.5345
## 890 4.987567e-08 1287.17 Mar 2014 10-29,99 1285.5345
## .se.fit .resid .hat .sigma .std.resid
## 1 34.24826 682.006966 0.01950485 244.2558 2.808658508
## 2 33.20911 -671.530430 0.01833919 244.2911 -2.763871343
## 3 34.24826 630.251220 0.01950485 244.4184 2.595516675
## 4 34.24826 593.461632 0.01950485 244.5261 2.444008854
## 5 34.24826 585.489887 0.01950485 244.5485 2.411179409
## 6 34.24826 580.449269 0.01950485 244.5626 2.390421007
## 7 34.24826 578.770299 0.01950485 244.5673 2.383506630
## 8 34.24826 576.516832 0.01950485 244.5735 2.374226346
## 9 34.24826 574.970869 0.01950485 244.5777 2.367859720
## 10 34.24826 572.281487 0.01950485 244.5851 2.356784239
## 11 34.24826 564.658566 0.01950485 244.6058 2.325391329
## 12 34.24826 563.953220 0.01950485 244.6077 2.322486558
## 13 34.97367 548.088463 0.02033987 244.6493 2.258113653
## 14 34.24826 547.678299 0.01950485 244.6510 2.255462761
## 15 35.48767 523.209176 0.02094212 244.7127 2.156274380
## 16 35.02663 527.693989 0.02040151 244.7017 2.174157227
## 17 34.24826 535.289754 0.01950485 244.6831 2.204443937
## 18 35.48767 506.682540 0.02094212 244.7534 2.088164028
## 19 33.20911 -540.835363 0.01833919 244.6696 -2.225959235
## 20 35.48767 491.216255 0.02094212 244.7903 2.024423640
## 21 34.24826 503.643936 0.01950485 244.7616 2.074119321
## 22 34.24826 500.372736 0.01950485 244.7695 2.060647782
## 23 34.97367 485.240863 0.02033987 244.8046 1.999182781
## 24 32.90837 -509.982994 0.01800854 244.7472 -2.098624278
## 25 34.24826 488.010602 0.01950485 244.7987 2.009737729
## 26 34.24826 486.240432 0.01950485 244.8028 2.002447769
## 27 34.24826 479.991760 0.01950485 244.8172 1.976714326
## 28 32.90837 -494.911406 0.01800854 244.7833 -2.036603385
## 29 32.90837 -494.010727 0.01800854 244.7855 -2.032897014
## 30 35.48767 454.738558 0.02094212 244.8729 1.874090033
## 31 34.24826 471.670566 0.01950485 244.8361 1.942445772
## 32 34.24826 469.753487 0.01950485 244.8404 1.934550810
## 33 34.24826 468.512869 0.01950485 244.8432 1.929441665
## 34 34.24826 468.269136 0.01950485 244.8438 1.928437916
## 35 33.20911 -482.346926 0.01833919 244.8124 -1.985233711
## 36 32.90837 -486.784327 0.01800854 244.8024 -2.003159751
## 37 34.24826 465.444554 0.01950485 244.8501 1.916805651
## 38 34.24826 464.725499 0.01950485 244.8517 1.913844421
## 39 33.92713 -468.785038 0.01914079 244.8428 -1.930204211
## 40 34.97367 454.011385 0.02033987 244.8747 1.870517945
## 41 34.24826 461.735611 0.01950485 244.8583 1.901531390
## 42 34.24826 461.479760 0.01950485 244.8588 1.900477735
## 43 35.48767 442.564844 0.02094212 244.8990 1.823919147
## 44 32.90837 -478.604461 0.01800854 244.8212 -1.969498890
## 45 32.75955 -480.341425 0.01784602 244.8173 -1.976483101
## 46 33.65767 465.167868 0.01883796 244.8510 1.915015049
## 47 33.20911 -471.309230 0.01833919 244.8376 -1.939804983
## 48 34.24826 452.808426 0.01950485 244.8778 1.864767228
## 49 33.20911 -467.292442 0.01833919 244.8466 -1.923272768
## 50 32.90837 -467.935794 0.01800854 244.8453 -1.925596401
## 51 34.24826 446.743354 0.01950485 244.8908 1.839789891
## 52 34.97367 432.978730 0.02033987 244.9193 1.783863823
## 53 32.90837 -458.539661 0.01800854 244.8661 -1.886930497
## 54 34.24826 439.482602 0.01950485 244.9062 1.809888479
## 55 34.24826 435.790026 0.01950485 244.9139 1.794681619
## 56 34.24826 435.607802 0.01950485 244.9143 1.793931179
## 57 34.83039 427.315031 0.02017356 244.9310 1.760380076
## 58 34.97367 423.677263 0.02033987 244.9384 1.745541964
## 59 32.90837 -448.580994 0.01800854 244.8876 -1.845949719
## 60 34.24826 424.218411 0.01950485 244.9376 1.747027098
## 61 32.90837 -441.101539 0.01800854 244.9035 -1.815171114
## 62 34.97367 413.832063 0.02033987 244.9581 1.704979934
## 63 34.97367 413.500185 0.02033987 244.9587 1.703612600
## 64 33.92713 -426.458752 0.01914079 244.9332 -1.755927371
## 65 34.24826 418.228293 0.01950485 244.9497 1.722358440
## 66 32.75955 -437.953692 0.01784602 244.9101 -1.802068332
## 67 34.97367 407.905930 0.02033987 244.9697 1.680564382
## 68 32.75955 -434.681158 0.01784602 244.9169 -1.788602688
## 69 32.90837 -431.390748 0.01800854 244.9237 -1.775210366
## 70 33.65767 421.270247 0.01883796 244.9439 1.734296193
## 71 34.97367 402.643785 0.02033987 244.9799 1.658884447
## 72 34.83039 403.782222 0.02017356 244.9778 1.663433596
## 73 33.69217 -415.985469 0.01887660 244.9544 -1.712573407
## 74 34.97367 399.830730 0.02033987 244.9853 1.647294717
## 75 34.24826 407.280336 0.01950485 244.9713 1.677272282
## 76 34.24826 404.218420 0.01950485 244.9772 1.664662624
## 77 34.24826 403.368678 0.01950485 244.9788 1.661163194
## 78 33.92713 -405.902117 0.01914079 244.9741 -1.671286221
## 79 33.20911 -414.832830 0.01833919 244.9569 -1.707360560
## 80 33.92713 -404.455831 0.01914079 244.9769 -1.665331196
## 81 33.92713 -403.554926 0.01914079 244.9786 -1.661621753
## 82 33.67073 -406.356331 0.01885258 244.9733 -1.672910667
## 83 35.02663 388.728559 0.02040151 245.0062 1.601604384
## 84 32.90837 -412.610861 0.01800854 244.9614 -1.697929499
## 85 33.65767 402.080135 0.01883796 244.9816 1.655293845
## 86 33.65767 401.802438 0.01883796 244.9821 1.654150616
## 87 32.90837 -410.432727 0.01800854 244.9657 -1.688966291
## 88 35.48767 378.634001 0.02094212 245.0245 1.560444337
## 89 34.24826 392.871745 0.01950485 244.9988 1.617934455
## 90 34.83039 385.078745 0.02017356 245.0130 1.586382181
## 91 34.83039 384.914413 0.02017356 245.0133 1.585705193
## 92 34.83039 384.692109 0.02017356 245.0137 1.584789385
## 93 35.02663 381.876644 0.02040151 245.0188 1.573373739
## 94 34.24826 389.623093 0.01950485 245.0049 1.604555774
## 95 32.90837 -405.643261 0.01800854 244.9750 -1.669257220
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## 99 34.24826 387.440545 0.01950485 245.0089 1.595567548
## 100 32.75955 -405.534892 0.01784602 244.9753 -1.668673195
## 101 33.20911 -398.158126 0.01833919 244.9893 -1.638731153
## 102 34.97367 375.023651 0.02033987 245.0312 1.545090042
## 103 34.83039 376.565936 0.02017356 245.0285 1.551312552
## 104 32.75955 -400.244758 0.01784602 244.9855 -1.646905638
## 105 32.75955 -399.913158 0.01784602 244.9861 -1.645541188
## 106 34.24826 381.870954 0.01950485 245.0191 1.572630716
## 107 33.20911 -393.359908 0.01833919 244.9983 -1.618982745
## 108 33.20911 -391.593902 0.01833919 245.0016 -1.611714253
## 109 34.97367 369.738851 0.02033987 245.0406 1.523316771
## 110 34.24826 377.041893 0.01950485 245.0279 1.552743555
## 111 34.24826 374.236960 0.01950485 245.0329 1.541192207
## 112 34.83039 367.727284 0.02017356 245.0442 1.514900572
## 113 32.90837 -389.480615 0.01800854 245.0057 -1.602746531
## 114 34.97367 364.427397 0.02033987 245.0499 1.501433682
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## 118 32.75955 -386.513425 0.01784602 245.0112 -1.590404685
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## 120 33.92713 -371.327292 0.01914079 245.0382 -1.528925720
## 121 33.65767 374.083056 0.01883796 245.0334 1.540034751
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## 131 34.24826 359.860411 0.01950485 245.0581 1.481986338
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## 139 35.02663 346.143722 0.02040151 245.0809 1.426150177
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## 156 32.90837 -354.629806 0.01800854 245.0675 -1.459332427
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## 185 32.90837 -330.620073 0.01800854 245.1067 -1.360530291
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## 187 35.02663 309.646256 0.02040151 245.1381 1.275776603
## 188 34.97367 310.130318 0.02033987 245.1374 1.277730790
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## 191 35.02663 307.477716 0.02040151 245.1413 1.266841982
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## 197 35.02663 303.192656 0.02040151 245.1475 1.249187062
## 198 35.38578 299.331152 0.02082204 245.1530 1.233542038
## 199 34.24826 309.379493 0.01950485 245.1387 1.274094531
## 200 33.20911 -319.143784 0.01833919 245.1243 -1.313525523
## 201 34.24826 308.800678 0.01950485 245.1395 1.271710840
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## 213 32.75955 -311.697170 0.01784602 245.1357 -1.282554778
## 214 33.65767 302.721056 0.01883796 245.1486 1.246249833
## 215 36.27263 279.696686 0.02187882 245.1800 1.153251004
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## 220 33.65767 295.582789 0.01883796 245.1587 1.216862833
## 221 32.76469 -303.192268 0.01785163 245.1481 -1.247562822
## 222 33.65767 293.868135 0.01883796 245.1612 1.209803899
## 223 33.20911 -297.830975 0.01833919 245.1557 -1.225806696
## 224 33.60632 -294.046693 0.01878053 245.1609 -1.210503566
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## 226 32.75955 -301.181313 0.01784602 245.1510 -1.239284692
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## 228 33.65767 291.671595 0.01883796 245.1642 1.200761129
## 229 33.20911 -294.321102 0.01833919 245.1606 -1.211360833
## 230 32.76469 -297.601856 0.01785163 245.1561 -1.224559629
## 231 33.65767 287.259868 0.01883796 245.1703 1.182598816
## 232 33.60632 -286.019614 0.01878053 245.1720 -1.177458449
## 233 33.23447 289.272482 0.01836721 245.1676 1.190598815
## 234 33.23447 289.272482 0.01836721 245.1676 1.190598815
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## 236 33.65767 284.269323 0.01883796 245.1744 1.170287262
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## 238 32.76469 -290.482401 0.01785163 245.1661 -1.195264796
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## 241 32.76469 -287.121589 0.01785163 245.1707 -1.181435868
## 242 32.76469 -286.066656 0.01785163 245.1721 -1.177095072
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## 244 34.97367 266.581918 0.02033987 245.1973 1.098312241
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## 246 32.90837 -283.832157 0.01800854 245.1751 -1.167993959
## 247 35.02663 265.626122 0.02040151 245.1986 1.094408816
## 248 33.20911 -280.710260 0.01833919 245.1793 -1.155341602
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## 250 33.60632 -276.932979 0.01878053 245.1842 -1.140051449
## 251 33.65767 274.297995 0.01883796 245.1877 1.129237045
## 252 35.38578 260.210534 0.02082204 245.2053 1.072326186
## 253 35.82572 -256.358727 0.02134301 245.2099 -1.056734066
## 254 32.76469 -280.192129 0.01785163 245.1801 -1.152922814
## 255 32.90837 -278.158557 0.01800854 245.1827 -1.144646603
## 256 32.90837 -277.912882 0.01800854 245.1831 -1.143635626
## 257 33.65767 270.679456 0.01883796 245.1924 1.114340150
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## 261 32.75955 -276.229964 0.01784602 245.1853 -1.136616224
## 262 32.75955 -275.690770 0.01784602 245.1860 -1.134397577
## 263 35.02663 257.026026 0.02040151 245.2093 1.058975473
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## 265 32.75955 -274.073046 0.01784602 245.1881 -1.127741052
## 266 32.75955 -273.891970 0.01784602 245.1884 -1.126995971
## 267 32.76469 -273.840668 0.01785163 245.1884 -1.126788090
## 268 35.38578 251.471945 0.02082204 245.2160 1.036314508
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## 271 32.90837 -269.884348 0.01800854 245.1935 -1.110597515
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## 273 35.82572 -246.512193 0.02134301 245.2218 -1.016145757
## 274 35.82572 -246.416536 0.02134301 245.2219 -1.015751447
## 275 33.65767 262.529595 0.01883796 245.2027 1.080788593
## 276 32.90837 -268.658200 0.01800854 245.1951 -1.105551808
## 277 32.75955 -269.703298 0.01784602 245.1938 -1.109760646
## 278 35.82572 -245.218460 0.02134301 245.2233 -1.010812870
## 279 34.97367 251.422176 0.02033987 245.2161 1.035854402
## 280 34.97367 250.304367 0.02033987 245.2174 1.031249051
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## 282 32.75955 -266.321122 0.01784602 245.1981 -1.095843850
## 283 32.90837 -264.942024 0.01800854 245.1998 -1.090259421
## 284 32.92373 -264.507087 0.01802535 245.2004 -1.088478935
## 285 35.38578 244.192057 0.02082204 245.2246 1.006314131
## 286 34.24826 252.326945 0.01950485 245.2151 1.039139269
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## 288 35.82572 -240.633527 0.02134301 245.2286 -0.991913356
## 289 33.65767 256.050171 0.01883796 245.2107 1.054113934
## 290 35.02663 245.332650 0.02040151 245.2233 1.010797478
## 291 33.67073 -254.257124 0.01885258 245.2129 -1.046740071
## 292 33.65767 253.952923 0.01883796 245.2133 1.045479927
## 293 32.75955 -260.808988 0.01784602 245.2050 -1.073162820
## 294 33.69270 253.123497 0.01887719 245.2143 1.042086157
## 295 33.69270 253.123497 0.01887719 245.2143 1.042086157
## 296 34.29251 246.546666 0.01955529 245.2220 1.015360892
## 297 34.29251 245.911732 0.01955529 245.2227 1.012746027
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## 299 32.76469 -256.698668 0.01785163 245.2101 -1.056252908
## 300 35.02663 238.540244 0.02040151 245.2311 0.982812019
## 301 33.65767 247.727862 0.01883796 245.2207 1.019852437
## 302 32.75955 -254.687788 0.01784602 245.2125 -1.047975635
## 303 35.02663 234.007450 0.02040151 245.2363 0.964136410
## 304 34.97367 233.349924 0.02033987 245.2370 0.961397082
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## 306 32.75955 -249.061698 0.01784602 245.2193 -1.024825699
## 307 33.69270 240.462051 0.01887719 245.2292 0.989960150
## 308 33.69270 240.462051 0.01887719 245.2292 0.989960150
## 309 33.65767 240.066647 0.01883796 245.2296 0.988312550
## 310 32.90837 -244.123148 0.01800854 245.2251 -1.004587941
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## 314 32.75955 -243.651388 0.01784602 245.2256 -1.002563648
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## 316 33.69270 236.308184 0.01887719 245.2339 0.972859063
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## 320 32.76469 -240.793735 0.01785163 245.2289 -0.990807955
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## 330 35.38578 218.774866 0.02082204 245.2527 0.901570026
## 331 33.65767 229.970789 0.01883796 245.2409 0.946749663
## 332 34.97367 220.351033 0.02033987 245.2511 0.907841909
## 333 32.75955 -235.289979 0.01784602 245.2352 -0.968158572
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## 337 35.82572 -212.188269 0.02134301 245.2594 -0.874659409
## 338 34.97367 217.550997 0.02033987 245.2540 0.896305813
## 339 34.97367 217.016042 0.02033987 245.2546 0.894101811
## 340 33.20911 -228.081593 0.01833919 245.2431 -0.938733602
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## 342 32.75955 -231.088855 0.01784602 245.2398 -0.950872011
## 343 34.97367 215.802324 0.02033987 245.2558 0.889101316
## 344 35.02663 214.959626 0.02040151 245.2567 0.885657281
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## 348 33.67073 -221.114871 0.01885258 245.2505 -0.910298172
## 349 33.65767 220.990001 0.01883796 245.2506 0.909777324
## 350 33.65767 220.538247 0.01883796 245.2511 0.907917530
## 351 32.75955 -226.138237 0.01784602 245.2452 -0.930501474
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## 353 32.76469 -225.551553 0.01785163 245.2459 -0.928090064
## 354 33.65767 218.321462 0.01883796 245.2534 0.898791413
## 355 33.65767 217.377989 0.01883796 245.2544 0.894907300
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## 360 32.76469 -222.709286 0.01785163 245.2489 -0.916394825
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## 362 32.90837 -220.169533 0.01800854 245.2515 -0.906016737
## 363 33.20911 -217.092436 0.01833919 245.2547 -0.893504651
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## 366 34.29251 209.084153 0.01955529 245.2627 0.861077849
## 367 34.24826 209.298145 0.01950485 245.2625 0.861936966
## 368 35.02663 203.929177 0.02040151 245.2677 0.840210621
## 369 35.82572 -198.252172 0.02134301 245.2731 -0.817213546
## 370 32.76469 -217.200523 0.01785163 245.2547 -0.893727597
## 371 34.97367 201.429567 0.02033987 245.2701 0.829885839
## 372 35.38578 198.313406 0.02082204 245.2731 0.817248458
## 373 33.69270 208.677230 0.01887719 245.2632 0.859104965
## 374 33.69270 208.677230 0.01887719 245.2632 0.859104965
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## 378 32.75955 -213.744764 0.01784602 245.2582 -0.879505478
## 379 33.65767 207.312305 0.01883796 245.2645 0.853468630
## 380 33.67073 -206.517742 0.01885258 245.2653 -0.850203890
## 381 35.82572 -193.062306 0.02134301 245.2779 -0.795820442
## 382 34.24493 202.092919 0.01950106 245.2696 0.832262613
## 383 34.24493 202.092919 0.01950106 245.2696 0.832262613
## 384 32.92373 -210.472020 0.01802535 245.2615 -0.866118043
## 385 34.97367 197.338997 0.02033987 245.2740 0.813032771
## 386 32.76469 -210.909553 0.01785163 245.2611 -0.867841777
## 387 32.76469 -210.821819 0.01785163 245.2612 -0.867480776
## 388 33.20911 -207.129375 0.01833919 245.2648 -0.852498887
## 389 35.02663 195.219044 0.02040151 245.2760 0.804323914
## 390 35.02663 194.816101 0.02040151 245.2764 0.802663747
## 391 32.76469 -207.679062 0.01785163 245.2643 -0.854549090
## 392 32.76469 -207.508219 0.01785163 245.2645 -0.853846114
## 393 35.02663 193.365716 0.02040151 245.2777 0.796688002
## 394 33.65767 201.444123 0.01883796 245.2703 0.829310348
## 395 32.76469 -207.100395 0.01785163 245.2649 -0.852168017
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## 400 33.20911 -202.300184 0.01833919 245.2695 -0.832623001
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## 402 32.90837 -202.561800 0.01800854 245.2693 -0.833559386
## 403 32.92373 -202.455620 0.01802535 245.2694 -0.833129579
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## 405 32.76469 -203.248801 0.01785163 245.2686 -0.836319639
## 406 32.76469 -202.854353 0.01785163 245.2690 -0.834696578
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## 408 35.82572 -183.667651 0.02134301 245.2864 -0.757094819
## 409 35.02663 187.808426 0.02040151 245.2828 0.773791354
## 410 34.29251 190.274687 0.01955529 245.2806 0.783614230
## 411 35.38578 183.434248 0.02082204 245.2866 0.755931533
## 412 32.92373 -197.412699 0.01802535 245.2742 -0.812377343
## 413 35.82572 -180.455202 0.02134301 245.2892 -0.743852812
## 414 34.29251 188.776553 0.01955529 245.2820 0.777444421
## 415 35.82572 -179.527245 0.02134301 245.2900 -0.740027687
## 416 33.65767 191.346535 0.01883796 245.2797 0.787740338
## 417 32.92373 -195.658650 0.01802535 245.2758 -0.805159218
## 418 35.38578 181.288231 0.02082204 245.2885 0.747087806
## 419 35.02663 182.407583 0.02040151 245.2875 0.751539288
## 420 35.02663 181.452635 0.02040151 245.2884 0.747604796
## 421 35.02663 181.354110 0.02040151 245.2885 0.747198865
## 422 34.29251 184.968857 0.01955529 245.2854 0.761763064
## 423 33.65767 188.227371 0.01883796 245.2825 0.774899286
## 424 34.29251 183.957753 0.01955529 245.2863 0.757599005
## 425 34.29251 183.947866 0.01955529 245.2863 0.757558284
## 426 34.29251 183.189475 0.01955529 245.2869 0.754434979
## 427 32.75955 -191.893431 0.01784602 245.2793 -0.789592785
## 428 34.97367 178.250191 0.02033987 245.2911 0.734387267
## 429 34.97367 178.103167 0.02033987 245.2912 0.733781532
## 430 33.69270 184.828578 0.01887719 245.2855 0.760922259
## 431 33.69270 184.828578 0.01887719 245.2855 0.760922259
## 432 32.92373 -188.511908 0.01802535 245.2823 -0.775749502
## 433 33.20911 -185.918836 0.01833919 245.2846 -0.765200979
## 434 32.75955 -188.269831 0.01784602 245.2826 -0.774682591
## 435 34.97367 175.818576 0.02033987 245.2932 0.724369062
## 436 35.82572 -171.400712 0.02134301 245.2968 -0.706529375
## 437 33.69270 182.318039 0.01887719 245.2877 0.750586600
## 438 33.69270 182.318039 0.01887719 245.2877 0.750586600
## 439 35.82572 -170.065918 0.02134301 245.2979 -0.701027233
## 440 35.82572 -169.839378 0.02134301 245.2980 -0.700093417
## 441 35.82572 -169.588536 0.02134301 245.2982 -0.699059420
## 442 34.29251 176.921620 0.01955529 245.2923 0.728621876
## 443 33.60632 -180.618154 0.01878053 245.2892 -0.743551702
## 444 35.82572 -168.899251 0.02134301 245.2988 -0.696218126
## 445 34.24493 176.799205 0.01950106 245.2924 0.728097594
## 446 34.24493 176.799205 0.01950106 245.2924 0.728097594
## 447 33.69270 179.173630 0.01887719 245.2905 0.737641357
## 448 33.69270 179.173630 0.01887719 245.2905 0.737641357
## 449 33.69270 179.056963 0.01887719 245.2906 0.737161051
## 450 33.69270 179.056963 0.01887719 245.2906 0.737161051
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## 453 33.20911 -181.182569 0.01833919 245.2888 -0.745707549
## 454 33.65767 178.412662 0.01883796 245.2911 0.734493838
## 455 34.29251 174.353923 0.01955529 245.2945 0.718047250
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## 459 35.02663 167.918783 0.02040151 245.2997 0.691843840
## 460 33.65767 174.985068 0.01883796 245.2940 0.720383030
## 461 33.20911 -175.680563 0.01833919 245.2934 -0.723062504
## 462 32.76469 -175.293019 0.01785163 245.2938 -0.721288360
## 463 35.02663 163.488910 0.02040151 245.3032 0.673592278
## 464 34.97367 162.638724 0.02033987 245.3038 0.670068333
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## 466 33.20911 -171.270296 0.01833919 245.2971 -0.704910818
## 467 35.02663 161.395450 0.02040151 245.3048 0.664966990
## 468 32.75955 -172.898631 0.01784602 245.2958 -0.711434002
## 469 34.97367 161.118857 0.02033987 245.3050 0.663806512
## 470 32.92373 -171.449099 0.01802535 245.2970 -0.705533961
## 471 32.76469 -172.301477 0.01785163 245.2963 -0.708978888
## 472 34.29251 164.266420 0.01955529 245.3026 0.676503567
## 473 32.76469 -171.713729 0.01785163 245.2968 -0.706560446
## 474 35.82572 -155.208184 0.02134301 245.3094 -0.639782300
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## 476 32.92373 -165.464160 0.01802535 245.3018 -0.680905205
## 477 33.60632 -161.969502 0.01878053 245.3044 -0.666780700
## 478 35.82572 -151.209869 0.02134301 245.3123 -0.623300879
## 479 35.02663 154.551301 0.02040151 245.3099 0.636768346
## 480 35.02663 153.486559 0.02040151 245.3107 0.632381491
## 481 32.92373 -163.469366 0.01802535 245.3033 -0.672696385
## 482 33.69270 158.395230 0.01887719 245.3072 0.652098595
## 483 33.69270 158.395230 0.01887719 245.3072 0.652098595
## 484 32.76469 -162.295077 0.01785163 245.3042 -0.667804973
## 485 35.02663 148.834826 0.02040151 245.3141 0.613215838
## 486 33.23447 156.518615 0.01836721 245.3086 0.644205341
## 487 33.23447 156.518615 0.01836721 245.3086 0.644205341
## 488 32.92373 -157.790560 0.01802535 245.3077 -0.649327405
## 489 36.27263 142.149607 0.02187882 245.3186 0.586114121
## 490 32.92373 -157.161717 0.01802535 245.3081 -0.646739641
## 491 35.02663 146.617435 0.02040151 245.3156 0.604079944
## 492 35.02663 146.513492 0.02040151 245.3157 0.603651690
## 493 32.76469 -156.423589 0.01785163 245.3087 -0.643645222
## 494 35.82572 -142.448802 0.02134301 245.3185 -0.587186963
## 495 32.76469 -156.163862 0.01785163 245.3089 -0.642576507
## 496 34.29251 148.730057 0.01955529 245.3142 0.612519673
## 497 32.76469 -155.816544 0.01785163 245.3092 -0.641147376
## 498 32.75955 -155.751179 0.01784602 245.3092 -0.640876589
## 499 32.76469 -155.723744 0.01785163 245.3092 -0.640765526
## 500 33.67073 -150.423410 0.01885258 245.3130 -0.619271579
## 501 33.23447 152.115015 0.01836721 245.3118 0.626080835
## 502 33.23447 152.115015 0.01836721 245.3118 0.626080835
## 503 35.02663 143.985989 0.02040151 245.3175 0.593238098
## 504 34.97367 144.208842 0.02033987 245.3173 0.594137584
## 505 34.97367 144.083918 0.02033987 245.3174 0.593622898
## 506 35.38578 142.008343 0.02082204 245.3188 0.585215604
## 507 33.88453 -148.536762 0.01909276 245.3144 -0.611579381
## 508 33.20911 -150.990451 0.01833919 245.3127 -0.621443439
## 509 34.29251 145.939341 0.01955529 245.3162 0.601026582
## 510 35.02663 140.225577 0.02040151 245.3200 0.577744788
## 511 35.02663 137.595444 0.02040151 245.3218 0.566908349
## 512 32.92373 -146.582560 0.01802535 245.3158 -0.603205118
## 513 33.20911 -145.212184 0.01833919 245.3167 -0.597661366
## 514 33.88453 -142.015302 0.01909276 245.3189 -0.584728177
## 515 35.82572 -133.610993 0.02134301 245.3243 -0.550756708
## 516 33.69270 141.614963 0.01887719 245.3192 0.583015780
## 517 33.69270 141.614963 0.01887719 245.3192 0.583015780
## 518 35.82572 -132.678593 0.02134301 245.3249 -0.546913270
## 519 33.23447 -142.156072 0.01836721 245.3188 -0.585091434
## 520 33.23447 -142.156072 0.01836721 245.3188 -0.585091434
## 521 34.29251 137.190675 0.01955529 245.3221 0.564996673
## 522 35.82572 -130.766402 0.02134301 245.3261 -0.539031044
## 523 32.92373 -142.601984 0.01802535 245.3185 -0.586824562
## 524 32.75955 -143.274779 0.01784602 245.3181 -0.589539368
## 525 33.20911 -140.707375 0.01833919 245.3198 -0.579120565
## 526 35.82572 -130.022178 0.02134301 245.3266 -0.535963285
## 527 35.82572 -129.579384 0.02134301 245.3268 -0.534138048
## 528 33.65767 138.170523 0.01883796 245.3215 0.568823963
## 529 35.02663 132.468292 0.02040151 245.3251 0.545783922
## 530 32.76469 -140.901744 0.01785163 245.3197 -0.579776583
## 531 32.92373 -139.215754 0.01802535 245.3208 -0.572889812
## 532 35.82572 -125.169645 0.02134301 245.3295 -0.515960700
## 533 32.92373 -136.531099 0.01802535 245.3226 -0.561842131
## 534 34.97367 128.042191 0.02033987 245.3278 0.527531298
## 535 33.65767 132.991201 0.01883796 245.3248 0.547501600
## 536 36.27263 -122.933202 0.02187882 245.3308 -0.506880652
## 537 32.92373 -135.852175 0.01802535 245.3230 -0.559048274
## 538 32.76469 -136.135189 0.01785163 245.3228 -0.560163365
## 539 32.92373 -134.534784 0.01802535 245.3239 -0.553627049
## 540 32.92373 -134.498032 0.01802535 245.3239 -0.553475813
## 541 32.92373 -133.894166 0.01802535 245.3243 -0.550990828
## 542 34.29251 127.958147 0.01955529 245.3279 0.526974065
## 543 34.74736 125.428774 0.02007748 245.3294 0.516694885
## 544 34.74736 125.428774 0.02007748 245.3294 0.516694885
## 545 32.92373 -131.311366 0.01802535 245.3259 -0.540362291
## 546 34.30813 125.628314 0.01957311 245.3293 0.517383743
## 547 36.27263 118.172971 0.02187882 245.3336 0.487253174
## 548 33.65767 127.653505 0.01883796 245.3281 0.525527233
## 549 34.74736 122.993837 0.02007748 245.3309 0.506664334
## 550 34.74736 122.993837 0.02007748 245.3309 0.506664334
## 551 34.29251 124.556532 0.01955529 245.3299 0.512965087
## 552 34.29251 123.806723 0.01955529 245.3304 0.509877125
## 553 35.82572 -118.240839 0.02134301 245.3335 -0.487399529
## 554 34.29251 123.295875 0.01955529 245.3307 0.507773281
## 555 34.30813 123.213139 0.01957311 245.3307 0.507437161
## 556 34.29251 122.776457 0.01955529 245.3310 0.505634145
## 557 35.02663 119.576292 0.02040151 245.3328 0.492667466
## 558 35.82572 -116.617506 0.02134301 245.3345 -0.480708001
## 559 34.29251 121.225614 0.01955529 245.3319 0.499247261
## 560 33.23447 124.677528 0.01836721 245.3299 0.513152567
## 561 33.23447 124.677528 0.01836721 245.3299 0.513152567
## 562 32.76469 -126.172395 0.01785163 245.3290 -0.519168878
## 563 33.65767 122.239062 0.01883796 245.3313 0.503236916
## 564 34.29251 119.634541 0.01955529 245.3328 0.492694697
## 565 33.69270 121.665118 0.01887719 245.3317 0.500884100
## 566 33.69270 121.665118 0.01887719 245.3317 0.500884100
## 567 34.97367 116.921300 0.02033987 245.3343 0.481713448
## 568 32.92373 -123.943908 0.01802535 245.3304 -0.510044304
## 569 35.82572 -113.258706 0.02134301 245.3363 -0.466862721
## 570 34.29251 118.528014 0.01955529 245.3334 0.488137650
## 571 32.92373 -123.519232 0.01802535 245.3306 -0.508296712
## 572 32.76469 -123.693477 0.01785163 245.3305 -0.508968729
## 573 34.29251 117.505390 0.01955529 245.3340 0.483926146
## 574 34.74736 115.042488 0.02007748 245.3354 0.473909322
## 575 34.74736 115.042488 0.02007748 245.3354 0.473909322
## 576 32.92373 -121.419850 0.01802535 245.3318 -0.499657498
## 577 33.65767 118.119329 0.01883796 245.3337 0.486276691
## 578 36.27263 -109.176916 0.02187882 245.3384 -0.450160458
## 579 32.92373 -120.094175 0.01802535 245.3326 -0.494202181
## 580 32.92373 -119.880826 0.01802535 245.3327 -0.493324227
## 581 35.02663 112.306910 0.02040151 245.3368 0.462716813
## 582 33.67073 -116.858585 0.01885258 245.3344 -0.481090014
## 583 32.75955 -118.632231 0.01784602 245.3334 -0.488141534
## 584 33.69270 114.614978 0.01887719 245.3356 0.471859325
## 585 33.69270 114.614978 0.01887719 245.3356 0.471859325
## 586 34.29251 111.496799 0.01955529 245.3373 0.459180776
## 587 35.02663 109.004959 0.02040151 245.3386 0.449112411
## 588 32.76469 -116.804010 0.01785163 245.3345 -0.480620241
## 589 32.92373 -115.964293 0.01802535 245.3349 -0.477207215
## 590 35.02663 108.414116 0.02040151 245.3389 0.446678074
## 591 34.29251 110.693081 0.01955529 245.3377 0.455870798
## 592 32.92373 -115.402826 0.01802535 245.3352 -0.474896711
## 593 34.29251 110.433087 0.01955529 245.3379 0.454800056
## 594 34.97367 108.107509 0.02033987 245.3390 0.445400803
## 595 33.20911 -114.044030 0.01833919 245.3360 -0.469380108
## 596 35.02663 107.247177 0.02040151 245.3395 0.441870155
## 597 32.92373 114.317959 0.01802535 245.3358 0.470432347
## 598 32.92373 -113.662832 0.01802535 245.3362 -0.467736423
## 599 33.69270 110.799906 0.01887719 245.3377 0.456153022
## 600 33.69270 110.799906 0.01887719 245.3377 0.456153022
## 601 33.69270 110.798312 0.01887719 245.3377 0.456146460
## 602 33.69270 110.798312 0.01887719 245.3377 0.456146460
## 603 32.92373 -110.371632 0.01802535 245.3379 -0.454192734
## 604 33.23447 -107.982585 0.01836721 245.3392 -0.444438878
## 605 33.23447 -107.982585 0.01836721 245.3392 -0.444438878
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## 607 32.75955 -108.854646 0.01784602 245.3387 -0.447909252
## 608 34.30813 -103.624495 0.01957311 245.3413 -0.426763898
## 609 34.97367 101.477376 0.02033987 245.3424 0.418084785
## 610 33.69270 105.265688 0.01887719 245.3405 0.433369155
## 611 33.69270 105.265688 0.01887719 245.3405 0.433369155
## 612 34.29251 100.953066 0.01955529 245.3426 0.415758187
## 613 32.92373 -105.210954 0.01802535 245.3406 -0.432955911
## 614 34.29251 100.644532 0.01955529 245.3428 0.414487545
## 615 33.23447 -102.137406 0.01836721 245.3421 -0.420381066
## 616 33.23447 -102.137406 0.01836721 245.3421 -0.420381066
## 617 32.92373 -102.573317 0.01802535 245.3419 -0.422101714
## 618 33.69270 100.066578 0.01887719 245.3431 0.411964900
## 619 33.69270 100.066578 0.01887719 245.3431 0.411964900
## 620 34.29251 97.197881 0.01955529 245.3444 0.400293091
## 621 34.29251 96.816687 0.01955529 245.3446 0.398723208
## 622 35.82572 -92.294584 0.02134301 245.3466 -0.380446700
## 623 35.02663 93.914368 0.02040151 245.3459 0.386937517
## 624 33.65767 97.449905 0.01883796 245.3443 0.401184275
## 625 35.82572 -90.881336 0.02134301 245.3472 -0.374621159
## 626 33.65767 96.686529 0.01883796 245.3447 0.398041589
## 627 34.29251 94.785257 0.01955529 245.3455 0.390357106
## 628 33.69270 94.418297 0.01887719 245.3457 0.388711444
## 629 33.69270 94.418297 0.01887719 245.3457 0.388711444
## 630 33.69270 94.117118 0.01887719 245.3458 0.387471518
## 631 33.69270 94.117118 0.01887719 245.3458 0.387471518
## 632 34.97367 90.410976 0.02033987 245.3474 0.372491435
## 633 33.23447 94.996870 0.01836721 245.3454 0.390991774
## 634 33.23447 94.996870 0.01836721 245.3454 0.390991774
## 635 33.69270 93.554845 0.01887719 245.3461 0.385156693
## 636 33.69270 93.554845 0.01887719 245.3461 0.385156693
## 637 35.02663 88.796235 0.02040151 245.3481 0.365850245
## 638 34.29251 89.816008 0.01955529 245.3477 0.369892092
## 639 32.92373 -93.514554 0.01802535 245.3461 -0.384823798
## 640 35.38578 86.529691 0.02082204 245.3491 0.356588384
## 641 33.88453 -89.573841 0.01909276 245.3478 -0.368807784
## 642 35.02663 86.164101 0.02040151 245.3492 0.355005567
## 643 33.23447 -90.250415 0.01836721 245.3475 -0.371456131
## 644 33.23447 -90.250415 0.01836721 245.3475 -0.371456131
## 645 34.29251 86.978723 0.01955529 245.3489 0.358207214
## 646 33.20911 -89.429102 0.01833919 245.3479 -0.368070489
## 647 36.27263 81.555893 0.02187882 245.3510 0.336272899
## 648 35.82572 -82.477918 0.02134301 245.3507 -0.339981504
## 649 33.20911 -89.158260 0.01833919 245.3480 -0.366955760
## 650 35.02663 84.135183 0.02040151 245.3500 0.346646200
## 651 34.29251 85.789214 0.01955529 245.3494 0.353308420
## 652 32.92373 -89.143450 0.01802535 245.3480 -0.366836174
## 653 32.92373 -88.972154 0.01802535 245.3481 -0.366131268
## 654 32.92373 -88.110693 0.01802535 245.3485 -0.362586252
## 655 34.29251 83.634266 0.01955529 245.3503 0.344433628
## 656 33.23447 85.527009 0.01836721 245.3495 0.352015357
## 657 33.23447 85.527009 0.01836721 245.3495 0.352015357
## 658 33.69270 84.079288 0.01887719 245.3501 0.346146695
## 659 33.69270 84.079288 0.01887719 245.3501 0.346146695
## 660 34.97367 80.380457 0.02033987 245.3515 0.331165897
## 661 33.69270 82.889421 0.01887719 245.3506 0.341248123
## 662 33.69270 82.889421 0.01887719 245.3506 0.341248123
## 663 33.67073 -82.289933 0.01885258 245.3508 -0.338775839
## 664 32.76469 -84.205210 0.01785163 245.3501 -0.346484066
## 665 32.92373 -83.670841 0.01802535 245.3503 -0.344315721
## 666 32.92373 -82.835508 0.01802535 245.3506 -0.340878222
## 667 33.23447 81.718728 0.01836721 245.3510 0.336341085
## 668 33.23447 81.718728 0.01836721 245.3510 0.336341085
## 669 33.69270 80.074697 0.01887719 245.3517 0.329660162
## 670 33.69270 80.074697 0.01887719 245.3517 0.329660162
## 671 32.75955 -82.076113 0.01784602 245.3509 -0.337722381
## 672 34.29251 78.044414 0.01955529 245.3524 0.321412766
## 673 35.82572 -74.545784 0.02134301 245.3537 -0.307284526
## 674 34.29251 77.916147 0.01955529 245.3525 0.320884522
## 675 33.69270 78.944851 0.01887719 245.3521 0.325008691
## 676 33.69270 78.944851 0.01887719 245.3521 0.325008691
## 677 33.23447 -78.306051 0.01836721 245.3523 -0.322295060
## 678 33.23447 -78.306051 0.01836721 245.3523 -0.322295060
## 679 33.69270 75.658445 0.01887719 245.3533 0.311478860
## 680 33.69270 75.658445 0.01887719 245.3533 0.311478860
## 681 33.88453 -75.128173 0.01909276 245.3535 -0.309329764
## 682 33.88453 -74.669016 0.01909276 245.3536 -0.307439248
## 683 34.29251 73.513199 0.01955529 245.3540 0.302751721
## 684 33.69270 74.327772 0.01887719 245.3538 0.306000603
## 685 33.69270 74.327772 0.01887719 245.3538 0.306000603
## 686 34.74736 71.570965 0.02007748 245.3547 0.294831483
## 687 34.74736 71.570965 0.02007748 245.3547 0.294831483
## 688 33.69270 73.766888 0.01887719 245.3540 0.303691493
## 689 33.69270 73.766888 0.01887719 245.3540 0.303691493
## 690 33.69270 72.996439 0.01887719 245.3542 0.300519626
## 691 33.69270 72.996439 0.01887719 245.3542 0.300519626
## 692 33.69270 72.984354 0.01887719 245.3542 0.300469875
## 693 33.69270 72.984354 0.01887719 245.3542 0.300469875
## 694 33.69270 70.197097 0.01887719 245.3552 0.288994991
## 695 33.69270 70.197097 0.01887719 245.3552 0.288994991
## 696 33.65767 69.927980 0.01883796 245.3553 0.287881309
## 697 36.27263 -63.735568 0.02187882 245.3572 -0.262795776
## 698 33.69270 67.956045 0.01887719 245.3559 0.279768788
## 699 33.69270 67.956045 0.01887719 245.3559 0.279768788
## 700 34.74736 65.570122 0.02007748 245.3567 0.270111440
## 701 34.74736 65.570122 0.02007748 245.3567 0.270111440
## 702 33.23447 -68.626185 0.01836721 245.3557 -0.282454293
## 703 33.23447 -68.626185 0.01836721 245.3557 -0.282454293
## 704 34.29251 66.268990 0.01955529 245.3565 0.272917667
## 705 34.29251 64.464799 0.01955529 245.3570 0.265487410
## 706 32.92373 -66.895626 0.01802535 245.3563 -0.275283664
## 707 32.76469 -67.020262 0.01785163 245.3562 -0.275772162
## 708 32.75955 -66.403579 0.01784602 245.3564 -0.273233883
## 709 33.23447 -65.248463 0.01836721 245.3568 -0.268552137
## 710 33.23447 -65.248463 0.01836721 245.3568 -0.268552137
## 711 33.23447 65.057852 0.01836721 245.3569 0.267767611
## 712 33.23447 65.057852 0.01836721 245.3569 0.267767611
## 713 34.24493 62.909093 0.01950106 245.3575 0.259073331
## 714 34.24493 62.909093 0.01950106 245.3575 0.259073331
## 715 34.29251 62.595881 0.01955529 245.3576 0.257790585
## 716 34.30813 61.684600 0.01957311 245.3579 0.254039938
## 717 33.69270 62.241106 0.01887719 245.3577 0.256240908
## 718 33.69270 62.241106 0.01887719 245.3577 0.256240908
## 719 32.92373 -63.593093 0.01802535 245.3573 -0.261693337
## 720 33.88453 61.713350 0.01909276 245.3579 0.254096104
## 721 33.23447 -62.529530 0.01836721 245.3576 -0.257361447
## 722 33.23447 -62.529530 0.01836721 245.3576 -0.257361447
## 723 33.23447 62.275661 0.01836721 245.3577 0.256316562
## 724 33.23447 62.275661 0.01836721 245.3577 0.256316562
## 725 33.69270 61.014584 0.01887719 245.3581 0.251191432
## 726 33.69270 61.014584 0.01887719 245.3581 0.251191432
## 727 34.29251 59.602953 0.01955529 245.3585 0.245464718
## 728 34.29251 56.446990 0.01955529 245.3593 0.232467415
## 729 34.24493 56.274268 0.01950106 245.3594 0.231749678
## 730 34.24493 56.274268 0.01950106 245.3594 0.231749678
## 731 34.30813 -56.144607 0.01957311 245.3594 -0.231224205
## 732 35.02663 54.292768 0.02040151 245.3599 0.223692171
## 733 33.69270 56.225821 0.01887719 245.3594 0.231476534
## 734 33.69270 56.225821 0.01887719 245.3594 0.231476534
## 735 34.24493 55.090553 0.01950106 245.3597 0.226874885
## 736 34.24493 55.090553 0.01950106 245.3597 0.226874885
## 737 34.30813 54.116853 0.01957311 245.3599 0.222873167
## 738 32.75955 -56.401964 0.01784602 245.3594 -0.232079774
## 739 33.23447 -55.332415 0.01836721 245.3596 -0.227739282
## 740 33.23447 -55.332415 0.01836721 245.3596 -0.227739282
## 741 36.27263 50.058989 0.02187882 245.3609 0.206404231
## 742 33.23447 54.235282 0.01836721 245.3599 0.223223661
## 743 33.23447 54.235282 0.01836721 245.3599 0.223223661
## 744 33.23447 -53.675215 0.01836721 245.3601 -0.220918515
## 745 33.23447 -53.675215 0.01836721 245.3601 -0.220918515
## 746 33.69270 52.834972 0.01887719 245.3603 0.217516722
## 747 33.69270 52.834972 0.01887719 245.3603 0.217516722
## 748 33.69270 52.823518 0.01887719 245.3603 0.217469564
## 749 33.69270 52.823518 0.01887719 245.3603 0.217469564
## 750 34.29251 51.747075 0.01955529 245.3605 0.213111606
## 751 33.69270 52.080039 0.01887719 245.3605 0.214408731
## 752 33.69270 52.080039 0.01887719 245.3605 0.214408731
## 753 33.69270 51.997154 0.01887719 245.3605 0.214067502
## 754 33.69270 51.997154 0.01887719 245.3605 0.214067502
## 755 33.69270 51.766984 0.01887719 245.3605 0.213119914
## 756 33.69270 51.766984 0.01887719 245.3605 0.213119914
## 757 33.23447 -51.446057 0.01836721 245.3606 -0.211743663
## 758 33.23447 -51.446057 0.01836721 245.3606 -0.211743663
## 759 33.20911 -49.567993 0.01833919 245.3611 -0.204010942
## 760 33.69270 45.897506 0.01887719 245.3619 0.188955810
## 761 33.69270 45.897506 0.01887719 245.3619 0.188955810
## 762 34.74736 43.914679 0.02007748 245.3623 0.180903388
## 763 34.74736 43.914679 0.02007748 245.3623 0.180903388
## 764 35.82572 -42.420718 0.02134301 245.3626 -0.174862070
## 765 33.23447 -44.912063 0.01836721 245.3621 -0.184850799
## 766 33.23447 -44.912063 0.01836721 245.3621 -0.184850799
## 767 34.74736 42.762376 0.02007748 245.3626 0.176156556
## 768 34.74736 42.762376 0.02007748 245.3626 0.176156556
## 769 34.24493 -42.017193 0.01950106 245.3627 -0.173035944
## 770 34.24493 -42.017193 0.01950106 245.3627 -0.173035944
## 771 34.97367 -40.068891 0.02033987 245.3631 -0.165083041
## 772 34.97367 39.973300 0.02033987 245.3631 0.164689207
## 773 32.92373 -42.406975 0.01802535 245.3626 -0.174509875
## 774 33.69270 41.342163 0.01887719 245.3629 0.170201884
## 775 33.69270 41.342163 0.01887719 245.3629 0.170201884
## 776 33.69270 40.286312 0.01887719 245.3631 0.165855040
## 777 33.69270 40.286312 0.01887719 245.3631 0.165855040
## 778 34.30813 39.437696 0.01957311 245.3632 0.162418982
## 779 33.69270 39.013512 0.01887719 245.3633 0.160615040
## 780 33.69270 39.013512 0.01887719 245.3633 0.160615040
## 781 33.23447 -39.430148 0.01836721 245.3632 -0.162288121
## 782 33.23447 -39.430148 0.01836721 245.3632 -0.162288121
## 783 33.65767 38.825180 0.01883796 245.3633 0.159836501
## 784 33.69270 37.009645 0.01887719 245.3637 0.152365305
## 785 33.69270 37.009645 0.01887719 245.3637 0.152365305
## 786 33.23447 -37.053263 0.01836721 245.3637 -0.152505248
## 787 33.23447 -37.053263 0.01836721 245.3637 -0.152505248
## 788 33.23447 -36.592339 0.01836721 245.3637 -0.150608157
## 789 33.23447 -36.592339 0.01836721 245.3637 -0.150608157
## 790 36.27263 -32.971854 0.02187882 245.3643 -0.135950210
## 791 34.24493 -34.324272 0.01950106 245.3641 -0.141354820
## 792 34.24493 -34.324272 0.01950106 245.3641 -0.141354820
## 793 32.92373 -35.502250 0.01802535 245.3639 -0.146096092
## 794 33.23447 -34.594724 0.01836721 245.3641 -0.142386297
## 795 33.23447 -34.594724 0.01836721 245.3641 -0.142386297
## 796 34.97367 32.670842 0.02033987 245.3644 0.134603225
## 797 35.02663 32.613983 0.02040151 245.3644 0.134373194
## 798 35.82572 -30.371106 0.02134301 245.3647 -0.125192470
## 799 33.69270 32.279772 0.01887719 245.3644 0.132892854
## 800 33.69270 32.279772 0.01887719 245.3644 0.132892854
## 801 34.29251 30.597341 0.01955529 245.3647 0.126009994
## 802 33.69270 31.160488 0.01887719 245.3646 0.128284862
## 803 33.69270 31.160488 0.01887719 245.3646 0.128284862
## 804 35.02663 29.673835 0.02040151 245.3648 0.122259460
## 805 33.23447 30.957549 0.01836721 245.3646 0.127416270
## 806 33.23447 30.957549 0.01836721 245.3646 0.127416270
## 807 33.69270 30.437421 0.01887719 245.3647 0.125308063
## 808 33.69270 30.437421 0.01887719 245.3647 0.125308063
## 809 33.65767 30.101314 0.01883796 245.3648 0.123921862
## 810 32.92373 -30.245641 0.01802535 245.3648 -0.124464504
## 811 33.65767 -29.022286 0.01883796 245.3649 -0.119479696
## 812 33.23447 29.180203 0.01836721 245.3649 0.120101004
## 813 33.23447 29.180203 0.01836721 245.3649 0.120101004
## 814 33.23447 29.066252 0.01836721 245.3649 0.119631999
## 815 33.23447 29.066252 0.01836721 245.3649 0.119631999
## 816 36.27263 -26.394725 0.02187882 245.3653 -0.108831262
## 817 32.92373 29.065559 0.01802535 245.3649 0.119608320
## 818 33.23447 -28.329663 0.01836721 245.3650 -0.116600319
## 819 33.23447 -28.329663 0.01836721 245.3650 -0.116600319
## 820 34.24493 27.445110 0.01950106 245.3651 0.113024935
## 821 34.24493 27.445110 0.01950106 245.3651 0.113024935
## 822 33.23447 -28.012681 0.01836721 245.3651 -0.115295672
## 823 33.23447 -28.012681 0.01836721 245.3651 -0.115295672
## 824 33.23447 27.155409 0.01836721 245.3652 0.111767279
## 825 33.23447 27.155409 0.01836721 245.3652 0.111767279
## 826 33.69270 26.629154 0.01887719 245.3652 0.109629779
## 827 33.69270 26.629154 0.01887719 245.3652 0.109629779
## 828 34.29251 26.039608 0.01955529 245.3653 0.107239737
## 829 34.29251 25.794547 0.01955529 245.3653 0.106230496
## 830 34.97367 24.202457 0.02033987 245.3655 0.099713646
## 831 34.74736 23.755297 0.02007748 245.3656 0.097858252
## 832 34.74736 23.755297 0.02007748 245.3656 0.097858252
## 833 33.23447 -24.664597 0.01836721 245.3655 -0.101515496
## 834 33.23447 -24.664597 0.01836721 245.3655 -0.101515496
## 835 33.65767 23.790114 0.01883796 245.3656 0.097939752
## 836 33.23447 24.014061 0.01836721 245.3656 0.098837996
## 837 33.23447 24.014061 0.01836721 245.3656 0.098837996
## 838 33.23447 -23.342606 0.01836721 245.3656 -0.096074395
## 839 33.23447 -23.342606 0.01836721 245.3656 -0.096074395
## 840 33.23447 22.788470 0.01836721 245.3657 0.093793662
## 841 33.23447 22.788470 0.01836721 245.3657 0.093793662
## 842 34.74736 20.918662 0.02007748 245.3659 0.086172934
## 843 34.74736 20.918662 0.02007748 245.3659 0.086172934
## 844 33.23447 21.698876 0.01836721 245.3658 0.089309069
## 845 33.23447 21.698876 0.01836721 245.3658 0.089309069
## 846 33.23447 20.460919 0.01836721 245.3659 0.084213836
## 847 33.23447 20.460919 0.01836721 245.3659 0.084213836
## 848 33.69270 -19.553149 0.01887719 245.3660 -0.080498516
## 849 33.69270 -19.553149 0.01887719 245.3660 -0.080498516
## 850 34.24493 -18.797986 0.01950106 245.3661 -0.077414197
## 851 34.24493 -18.797986 0.01950106 245.3661 -0.077414197
## 852 33.23447 -18.843881 0.01836721 245.3661 -0.077558372
## 853 33.23447 -18.843881 0.01836721 245.3661 -0.077558372
## 854 34.24493 -18.198604 0.01950106 245.3661 -0.074945811
## 855 34.24493 -18.198604 0.01950106 245.3661 -0.074945811
## 856 33.69270 17.716306 0.01887719 245.3662 0.072936401
## 857 33.69270 17.716306 0.01887719 245.3662 0.072936401
## 858 33.69270 16.583384 0.01887719 245.3663 0.068272268
## 859 33.69270 16.583384 0.01887719 245.3663 0.068272268
## 860 33.23447 -16.131797 0.01836721 245.3663 -0.066395870
## 861 33.23447 -16.131797 0.01836721 245.3663 -0.066395870
## 862 33.23447 -16.101257 0.01836721 245.3663 -0.066270175
## 863 33.23447 -16.101257 0.01836721 245.3663 -0.066270175
## 864 34.30813 15.553982 0.01957311 245.3664 0.064057035
## 865 33.88453 -15.564459 0.01909276 245.3664 -0.064084486
## 866 34.97367 14.799109 0.02033987 245.3664 0.060972037
## 867 33.23447 -12.304872 0.01836721 245.3666 -0.050644867
## 868 33.23447 -12.304872 0.01836721 245.3666 -0.050644867
## 869 34.74736 -11.218417 0.02007748 245.3666 -0.046213469
## 870 34.74736 -11.218417 0.02007748 245.3666 -0.046213469
## 871 33.23447 -11.610991 0.01836721 245.3666 -0.047788963
## 872 33.23447 -11.610991 0.01836721 245.3666 -0.047788963
## 873 33.23447 10.727282 0.01836721 245.3667 0.044151760
## 874 33.23447 10.727282 0.01836721 245.3667 0.044151760
## 875 33.23447 9.670076 0.01836721 245.3667 0.039800471
## 876 33.23447 9.670076 0.01836721 245.3667 0.039800471
## 877 33.23447 -8.593524 0.01836721 245.3668 -0.035369557
## 878 33.23447 -8.593524 0.01836721 245.3668 -0.035369557
## 879 33.23447 8.446743 0.01836721 245.3668 0.034765428
## 880 33.23447 8.446743 0.01836721 245.3668 0.034765428
## 881 33.23447 7.565394 0.01836721 245.3668 0.031137941
## 882 33.23447 7.565394 0.01836721 245.3668 0.031137941
## 883 33.88453 -6.500364 0.01909276 245.3668 -0.026764342
## 884 33.88453 6.382445 0.01909276 245.3668 0.026278826
## 885 34.30813 -3.678209 0.01957311 245.3669 -0.015148222
## 886 33.23447 -2.560281 0.01836721 245.3669 -0.010537705
## 887 33.23447 -2.560281 0.01836721 245.3669 -0.010537705
## 888 35.82572 1.846361 0.02134301 245.3669 0.007610868
## 889 33.23447 1.635549 0.01836721 245.3669 0.006731654
## 890 33.23447 1.635549 0.01836721 245.3669 0.006731654Robust lm fit to number of transactions. Play with weights: price_min, price_unit_area_mean etc..
# install.packages("MASS")
library(MASS)##
## Attaching package: 'MASS'## The following object is masked from 'package:dplyr':
##
## selectpredicted_transa_robust <- harju %>%
rlm(transactions ~ month + area, data = ., weights = price_min) %>%
augmentAdd robust fit to plot:
p + geom_line(data = predicted_transa, aes(month, .fitted, group = 1),
color = "red",
size = 1) +
geom_line(data = predicted_transa_robust, aes(month, .fitted, group = 1),
color = "blue",
size = 1) +
labs(caption = "Red line: model fit of seasonal effect to number of transactions.\nBlue line: robust model fit of seasonal effect to number of transactions, weighted for minimal price. \nSource: Estonian Land Board, transactions database.")
## Whole dataset: all counties
Plot whole dataset:
apartments %>%
ggplot(aes(date, transactions, group = area, color = area)) +
geom_line() +
facet_wrap(~ county, scales = "free_y")
apartments %>%
mutate(price_unit_area_mean = price_unit_area_mean / consumerindex) %>%
ggplot(aes(date, price_unit_area_mean, group = area, color = area)) +
geom_line() +
facet_wrap(~ county, scales = "free_y")## Warning: Removed 8 rows containing missing values (geom_path).
Fit multiple models
Fit model for each county. Goodness of model fit is evaluated by its ability to predict response values. Response values can be predicted using the same data that was used to train model. In this case we are dealing with in-sample analysis, which is ok when all we want to know is model coeficients (eg. intercept and slope) to describe present data. In cases when we want to predict using some unseen future data, such models are usually overfitted, overly optimistic and don’t perform very well. To manage overfitting, we split dataset into training set for model fitting and test set for model performance assessment.
Resampling can be performed very well using base R function sample(). Let’s say we want to use approx. 70% of rows from “mtcars” table to be used in model training and leave remaining 30% for model testing. Basically, all we need to do is to generate to non-overlapping row indexes.
set.seed(123)
index <- sample(1:nrow(mtcars), floor(0.7 * nrow(mtcars)), replace = FALSE)
index## [1] 10 25 13 26 27 2 14 23 29 11 22 32 24 31 28 16 4 1 5 30 19 8## ~70% data goes to training set
train <- mtcars[index, ]
## remaining ~30% will be used for testing model performance
test <- mtcars[-index, ]Index based resampling is also implemented in tidyverse. We can use resample_partition() function from “modelr” library to perform. Here we generate data splits and move them to separate columns.
library(modelr)##
## Attaching package: 'modelr'## The following object is masked from 'package:broom':
##
## bootstrap## Generate data splits and move into separate columns
trans <- apartments %>%
group_by(county) %>%
nest %>%
mutate(parts = map(data, ~resample_partition(.x, c(test = 0.3, train = 0.7))),
test = map(parts, "test"),
train = map(parts, "train")) %>%
dplyr::select(-parts)Fit model to each data split. Let’s start with number of transactions.
## Fit model
trans <- trans %>%
mutate(mod_train = map(train, ~lm(transactions ~ month + area, data = .x)))
## Print data with new model column
trans %>%
dplyr::select(mod_train, everything())## # A tibble: 15 x 5
## mod_train county data test
## <list> <chr> <list> <list>
## 1 <S3: lm> Harju maakond <tibble [890 x 18]> <S3: resample>
## 2 <S3: lm> Hiiu maakond <tibble [400 x 18]> <S3: resample>
## 3 <S3: lm> Ida-Viru maakond <tibble [890 x 18]> <S3: resample>
## 4 <S3: lm> Jõgeva maakond <tibble [798 x 18]> <S3: resample>
## 5 <S3: lm> Järva maakond <tibble [824 x 18]> <S3: resample>
## 6 <S3: lm> Lääne maakond <tibble [832 x 18]> <S3: resample>
## 7 <S3: lm> Lääne-Viru maakond <tibble [884 x 18]> <S3: resample>
## 8 <S3: lm> Põlva maakond <tibble [738 x 18]> <S3: resample>
## 9 <S3: lm> Pärnu maakond <tibble [889 x 18]> <S3: resample>
## 10 <S3: lm> Rapla maakond <tibble [797 x 18]> <S3: resample>
## 11 <S3: lm> Saare maakond <tibble [786 x 18]> <S3: resample>
## 12 <S3: lm> Tartu maakond <tibble [890 x 18]> <S3: resample>
## 13 <S3: lm> Valga maakond <tibble [847 x 18]> <S3: resample>
## 14 <S3: lm> Viljandi maakond <tibble [875 x 18]> <S3: resample>
## 15 <S3: lm> Võru maakond <tibble [832 x 18]> <S3: resample>
## # ... with 1 more variables: train <list>coef() and summary() return vector and S3 object respectively. Model coeficients and summary statistics can be returned as a data frame using tidy() function from “broom” library:
## model coeficients
trans %>%
mutate(mod_tidy = map(mod_train, tidy)) %>%
dplyr::select(county, mod_tidy) %>%
unnest## # A tibble: 240 x 6
## county term estimate std.error statistic p.value
## <chr> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 Harju maakond (Intercept) 90.720597 10.95902 8.2781703 7.956235e-16
## 2 Harju maakond monthAug 8.425303 12.99468 0.6483655 5.169934e-01
## 3 Harju maakond monthDec 7.407290 12.87110 0.5754980 5.651675e-01
## 4 Harju maakond monthFeb -19.712457 13.36976 -1.4744058 1.408899e-01
## 5 Harju maakond monthJan -34.256393 12.75323 -2.6860961 7.426733e-03
## 6 Harju maakond monthJul -11.766739 13.05168 -0.9015499 3.676530e-01
## 7 Harju maakond monthJun -18.997983 13.23487 -1.4354488 1.516735e-01
## 8 Harju maakond monthMar 3.340743 13.04129 0.2561666 7.979088e-01
## 9 Harju maakond monthMay 8.374288 12.86877 0.6507451 5.154569e-01
## 10 Harju maakond monthNov 11.586224 12.67146 0.9143560 3.608923e-01
## # ... with 230 more rowsPseudo out-of-sample model performance, augment() adds predictions to original data frame (.fitted). We subtract fitted values from the original values and calculate root-mean-squared deviation (rmsd). Smaller rmsd indicates better fit.
trans <- trans %>%
mutate(mod_pred = map2(mod_train, test, ~augment(.x, newdata = .y)),
mod_pred = map(mod_pred, ~mutate(.x, .resid = transactions - .fitted)),
mod_rmsd = map_dbl(mod_pred, ~sqrt(mean(.x$`.resid`^2))))
trans %>%
dplyr::select(county, mod_rmsd) %>%
arrange(desc(mod_rmsd))## # A tibble: 15 x 2
## county mod_rmsd
## <chr> <dbl>
## 1 Harju maakond 66.4419493
## 2 Tartu maakond 16.5692863
## 3 Ida-Viru maakond 9.7488850
## 4 Pärnu maakond 9.2678223
## 5 Lääne-Viru maakond 4.8961802
## 6 Viljandi maakond 3.5521556
## 7 Järva maakond 3.1063724
## 8 Rapla maakond 2.9415115
## 9 Valga maakond 2.9113005
## 10 Lääne maakond 2.7434744
## 11 Saare maakond 2.5359518
## 12 Jõgeva maakond 2.4825984
## 13 Võru maakond 2.3033747
## 14 Põlva maakond 1.9872345
## 15 Hiiu maakond 0.7937306We can see that Harju county displays worst fit and Tartu is next. These two counties show also majority of transactions.
trans_pred <- trans %>%
dplyr::select(county, mod_pred) %>%
unnest
trans_pred %>%
dplyr::select(.fitted, transactions, everything())## # A tibble: 3,643 x 22
## .fitted transactions county date year month area
## <dbl> <int> <chr> <date> <int> <chr> <chr>
## 1 136.5889 175 Harju maakond 2005-02-01 2005 Feb 30-40,99
## 2 221.3443 257 Harju maakond 2005-02-01 2005 Feb 41-54,99
## 3 244.3975 350 Harju maakond 2005-03-01 2005 Mar 41-54,99
## 4 90.7206 101 Harju maakond 2005-04-01 2005 Apr 10-29,99
## 5 241.0568 360 Harju maakond 2005-04-01 2005 Apr 41-54,99
## 6 199.9944 329 Harju maakond 2005-04-01 2005 Apr 55-69,99
## 7 249.4311 404 Harju maakond 2005-05-01 2005 May 41-54,99
## 8 208.3687 398 Harju maakond 2005-05-01 2005 May 55-69,99
## 9 192.2756 226 Harju maakond 2005-05-01 2005 May 70-249,99
## 10 137.3034 251 Harju maakond 2005-06-01 2005 Jun 30-40,99
## # ... with 3,633 more rows, and 15 more variables: area_total <dbl>,
## # area_mean <dbl>, price_total <int>, price_min <dbl>, price_max <dbl>,
## # price_unit_area_min <dbl>, price_unit_area_max <dbl>,
## # price_unit_area_median <dbl>, price_unit_area_mean <dbl>,
## # price_unit_area_sd <dbl>, title <chr>, subtitle <chr>,
## # consumerindex <dbl>, .se.fit <dbl>, .resid <dbl>